Journal articles: 'Plugin QGIS'

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Carbajal, Emmanuel Juárez, Félix Molina Ángel, René Vázquez Jiménez, and Iván Gallardo Bernal. "Componentes básicos para la creación de plugins QGIS con python en ambientes windows y linux." South Florida Journal of Development 3, no. 1 (February 23, 2022): 1527–37. http://dx.doi.org/10.46932/sfjdv3n1-117.

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El desarrollo de plugins enriquecen y aumentan la funcionalidad de QGIS, convirtiéndolo en un programa de Sistemas de Información Geográfica (SIG) de fuente abierta muy potente, sin embargo, resulta complejo el desarrollo de éstos para usuarios con poco conocimiento en estas aplicaciones o para personas que no están relacionadas con trabajos de este tipo. El objetivo de este artículo es instruir en la construcción de un plugin QGIS mediante un procedimiento paso a paso y la integración de las herramientas necesarias. Las herramientas que se integran para la construcción de un plugin son: QGIS 3.8, Python 3.7 y la biblioteca PyQGIS. Un plugin es un pequeño programa complementario de otro programa dándole un mejor funcionamiento al programa receptor. Como resultado se obtiene un plugin con su interfaz gráfica y con esto, el usuario final podría manipularlo dependiendo de la tarea programada en QGIS.

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Menapace, Andrea, Giuseppe Roberto Pisaturo, Alberto De Luca, Daniel Gerola, and Maurizio Righetti. "EPANET in QGIS framework: the QEPANET plugin." Journal of Water Supply: Research and Technology-Aqua 69, no. 1 (October 31, 2019): 1–5. http://dx.doi.org/10.2166/aqua.2019.087.

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Abstract In the current era, the digitization of geographical data is a transverse need of several engineering sectors, including the hydraulic networks management. Thus, water supply systems' modelling requires adequate tools in both the digitization and the simulation phases. This paper presents the QEPANET plugin, which aims at merging the flexibility of QGIS and the robustness of EPANET hydraulic simulations software. Several editing and graphical tools available with QEPANET are introduced to model new and existing water distribution systems, to read and modify existing text-based EPANET files, to run simulations and visualize results in a geo-referenced framework. In addition, an application is illustrated to underline the novelty and the practical functionality of the presented tool, such as 3D pipe lengths' automatic calculation and the supporting functionalities for the network drawing. The plugin is available via the official QGIS Python Plugins Repository and on the world-wide-web at https://gitlab.com/albertodeluca/qepanet.

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Kratochvílová, Anna, and Václav Petráš. "Quantum GIS plugin for Czech cadastral data." Geoinformatics FCE CTU 8 (October 14, 2012): 91–98. http://dx.doi.org/10.14311/gi.8.7.

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This paper presents new Quantum GIS plugin for Czech cadastral data and its development. QGIS is a rapidly developing cross-platform desktop Geographic Information System (GIS) released under the GNU GPL. QGIS is written in C++, and uses the Qt library. The plugin is developed in C++, too. The new plugin can work with Czech cadastral data in the new Czech cadastral exchange data format called VFK (or NVF). Data are accessed through VFK driver of the OGR library. The plugin should facilitate the work with cadastral data by easy search and presenting well arranged information. Information is displayed in the way similar to web applications, thus the control is friendly and familiar for users. The plugin supports interaction with map using QGIS functionality and it is able to export various cadastral reports. This paper provides ideas which can be generalized to develop QGIS plugin dealing with specific data.

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Podolskaia, E. S. "REVIEW OF OPEN SOURCE QGIS FORESTRY PLUGINS." FOREST SCIENCE ISSUES 4, no. 2 (August 23, 2021): 1–11. http://dx.doi.org/10.31509/2658-607x-202142-1.

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Forest industry today has some experience of using Open Source-programs. The article describes the Open Source QGIS plugins to solve the forestry challenges for the forest fire management and forest resources in scientific and applied research. Undertaken analysis will simplify selection of tools for a forest geoinformation project in Desktop and Web versions. A general brief description of modern plugins in QGIS (version 3.18.1) is given, and forestry plugins are characterized. An analysis of external QGIS plugins for working with forest resources and forest fires showed the heterogeneity of research, which has not identified any trends yet. Development of plugins with available data as map services for territories of different spatial coverage may be an option for the future research, while the ability to access archived data is important for the forest industry. The niche of thematic forest tasks in the modern QGIS plugin repository continues to be quite narrow. Transport and environmental applications implemented in GIS tools are more numerous and can solve some tasks of a forest project. Such review of plugins’ functionality should be done on a regular basis, following new developments and new versions of QGIS software.

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Duarte, Lia, Catarina Queirós, and Ana Cláudia Teodoro. "Comparative analysis of QGIS plugins for Web Maps creation." La Granja 34, no. 2 (August 27, 2021): 8–26. http://dx.doi.org/10.17163/lgr.n34.2021.01.

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QGIS is a free and open-source software that allows viewing, editing, and analyzing georeferenced data. It is a Geographic Information System (GIS) software composed by tools that allow to manipulate geographic information and consequently to create maps which help to get a better understanding and organization of geospatial data. Unfortunately, maps created directly in the GIS desktop software are not automatically transferred to a website. This research aimed to compare publishing capabilities in different QGIS plugins to create Web Maps. This study analyzes four QGIS plugins (QGIS2Web, QGIS Cloud, GIS Cloud Publisher and Mappia Publisher), performing a comparison between them, considering their advantages and disadvantages, the free and subscription plans, the tools offered by each plugin and other generic aspects. The four plugins were tested in a specific case study to automatically obtain different Web Maps. This study could help users to choose the most adequate tools to publish Web Maps under QGIS software.

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Becker, Daniel, Christian Willmes, Georg Bareth, and Gerd-Christian Weniger. "A PLUGIN TO INTERFACE OPENMODELLER FROM QGIS FOR SPECIES' POTENTIAL DISTRIBUTION MODELLING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (June 7, 2016): 251–56. http://dx.doi.org/10.5194/isprsannals-iii-7-251-2016.

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This contribution describes the development of a plugin for the geographic information system QGIS to interface the openModeller software package. The aim is to use openModeller to generate species’ potential distribution models for various archaeological applications (site catchment analysis, for example). Since the usage of openModeller’s command-line interface and configuration files can be a bit inconvenient, an extension of the QGIS user interface to handle these tasks, in combination with the management of the geographic data, was required. The implementation was realized in Python using PyQGIS and PyQT. The plugin, in combination with QGIS, handles the tasks of managing geographical data, data conversion, generation of configuration files required by openModeller and compilation of a project folder. The plugin proved to be very helpful with the task of compiling project datasets and configuration files for multiple instances of species occurrence datasets and the overall handling of openModeller. In addition, the plugin is easily extensible to take potential new requirements into account in the future.

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Becker, Daniel, Christian Willmes, Georg Bareth, and Gerd-Christian Weniger. "A PLUGIN TO INTERFACE OPENMODELLER FROM QGIS FOR SPECIES' POTENTIAL DISTRIBUTION MODELLING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-7 (June 7, 2016): 251–56. http://dx.doi.org/10.5194/isprs-annals-iii-7-251-2016.

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This contribution describes the development of a plugin for the geographic information system QGIS to interface the openModeller software package. The aim is to use openModeller to generate species’ potential distribution models for various archaeological applications (site catchment analysis, for example). Since the usage of openModeller’s command-line interface and configuration files can be a bit inconvenient, an extension of the QGIS user interface to handle these tasks, in combination with the management of the geographic data, was required. The implementation was realized in Python using PyQGIS and PyQT. The plugin, in combination with QGIS, handles the tasks of managing geographical data, data conversion, generation of configuration files required by openModeller and compilation of a project folder. The plugin proved to be very helpful with the task of compiling project datasets and configuration files for multiple instances of species occurrence datasets and the overall handling of openModeller. In addition, the plugin is easily extensible to take potential new requirements into account in the future.

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Rufin, P., A. Rabe, L. Nill, and P. Hostert. "GEE TIMESERIES EXPLORER FOR QGIS – INSTANT ACCESS TO PETABYTES OF EARTH OBSERVATION DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-4/W2-2021 (August 19, 2021): 155–58. http://dx.doi.org/10.5194/isprs-archives-xlvi-4-w2-2021-155-2021.

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Abstract. Earth observation analysis workflows commonly require mass processing of time series data, with data volumes easily exceeding terabyte magnitude, even for relatively small areas of interest. Cloud processing platforms such as Google Earth Engine (GEE) leverage accessibility to satellite image archives and thus facilitate time series analysis workflows. Instant visualization of time series data and integration with local data sources is, however, currently not implemented or requires coding customized scripts or applications. Here, we present the GEE Timeseries Explorer plugin which grants instant access to GEE from within QGIS. It seamlessly integrates the QGIS user interface with a compact widget for visualizing time series from any predefined or customized GEE image collection. Users can visualize time series profiles for a given coordinate as an interactive plot or visualize images with customized band rendering within the QGIS map canvas. The plugin is available through the QGIS plugin repository and detailed documentation is available online (https://geetimeseriesexplorer.readthedocs.io/).

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Barioni, Isadora, and Luciene Stamato Delazari. "Proposition of a Schematization Plugin for QGIS." Abstracts of the ICA 1 (July 15, 2019): 1–2. http://dx.doi.org/10.5194/ica-abs-1-23-2019.

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Abstract. The Federal University of Paraná (UFPR) has 26 different Campi in several cities in the Parana State, Brazil; in total are 11 million m2 of area, with 500 thousand m2 of constructed area and 316 buildings. UFPR has more than 6000 employees &ndash; staff and administrative &ndash; about 50,000 undergraduate students and 10,000 graduate students. A great part of this academic community does not know completely the space where they work and study. If we consider the external public who has access to the UFPR these figures are even bigger. The unfamiliarity with space and its characteristics has direct impacts in several issues, such as management of resources (humans and materials), Campi infrastructure management, not only of the exterior but also of the interior of the buildings, security, and other issues that can be supported by the use of geoinformation. From this perspective, we have started a Project named UFPR CampusMap (UCM) whose main goal is to implement a Geographic Information System with information from the indoor and outdoor environments. Its main purpose is to provide an up-to-date database on the structure of the campus. Among its features is the search and definition of routes between points of interest. The study area is the Campus Centro Politécnico (Curitiba City). In this research we decided to use the cartographic representation in two different aspects: the floor plan that presents the building and rooms and a schematic map, when the visualization scale is bigger, to present the position of a room and the corridors. The schematic representation is also used as a basis for the routing algorithm. Both cartographic representations were derived from a database obtained in a vector file, which details such as doors, windows, stairs, and text. We used QGIS to edit and create the floor plan that has the geometry of the building and rooms. The schematic map construction is a time consuming task, since involves reducing the complexity of map details, while at the same time preserving the important characteristics (especially topology). In this research, the final goal is to produce a schematic map from floor plans, using a semiautomatic process. In this process, we have used both computational algorithms and manual processes. The schematic map is formed by the transition points &ndash; which represent the transition between corridors and rooms, stairs, and bathrooms, for example &ndash; and the lines connecting them. The position of the transition points is defined by the following rule: if the transition is a door, the point is placed in the middle of its length, and if the transition is a corridor, for example, a turning point, the point is placed at the end of one line and the beginning of the other. The lines representing the corridors were created manually, using QGIS software, by drawing the central line of the corridor’s polygon. It was verified in this process the need to create a tool to automatize the processes o edition and creation of the schematic map. Thus, we propose the development of a Python QGIS Plugin to perform the schematization process. The plugin consists of four distinct interfaces, each one with one task:<ol><li>First, the centroids of each entrance space (room, for instance) are automatically created;</li><li>Second, the "skeleton" line of the polygon referring to the corridor layer are created;</li><li>Third, it is created a line calculated by the smallest distance between the centroid of the room to the centerlinegenerated in the previous step</li><li>Fourth, this shorter line and the corridor are joined, turning this layer into a single layer.</li></ol>Figure 1 presents this process.After the process of schematization the layer is verified in order to correct topology errors, and to insert the room and corridors attributes. After this, the layer is inserted in a PostGIS database.

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Amorim, Fabricio Rosa, and Marcio Augusto Reolon Schmidt. "WebMapa: Desenvolvimento de Mapas Web por um Complemento QGIS." Revista Brasileira de Cartografia 73, no. 3 (July 8, 2021): 842–54. http://dx.doi.org/10.14393/rbcv73n3-57625.

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Este trabalho descreve o processo de construção e validação de um (a) plugin / ferramenta em Sistema de Informações Geográficas (SIG), utilizado para desenvolvimento de mapas Web / online. O plugin, denominado WebMapa, ainda em desenvolvimento, permite ao usuário adicionar elementos cartográficos às páginas da Web, tornando-os interativos e funcionais. O plugin WebMapa foi construído no software QGIS, utilizando a linguagem de programação python. O sistema foi desenvolvido como um mecanismo de busca que permite aos usuários escolherem informações e elementos de mapas, bem como simbolizá-los. As escolhas possíveis são os seguintes elementos de mapas: base cartográfica (ex.: OpenStreetMap, Google Maps), bússola, escala, localização do usuário no mapa, edição em tela, cálculo de rota entre pontos de partida e chegada. O resultado do processamento do plugin WebMapa foi construído como um Web site disponível no formato de saída .html (HTML - Hypertext Markup Language / Linguagem de marcação de hipertexto). Desta forma, o sistema se torna multiplataforma, uma vez que pode ser acessado como um web site em qualquer tipo de navegador Web independente do sistema operacional.

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Stuckey, Owen. "A Comparison of ArcGIS and QGIS for Animation." Cartographic Perspectives, no. 85 (June 22, 2017): 23–32. http://dx.doi.org/10.14714/cp85.1405.

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I compare two GIS programs which can be used to create cartographic animations—the commercial Esri ArcGIS and the free and open-source QGIS. ArcGIS implements animation through the “Time Slider” while QGIS uses a plugin called “TimeManager.” There are some key similarities and differences as well as functions unique to each plugin. This analysis examines each program’s capabilities in mapping time series data. Criteria for evaluation include the number of steps, the number of output formats, input of data, processing, output of a finished animation, and cost. The comparison indicates that ArcGIS has more control in input, processing, and output of animations than QGIS, but has a baseline cost of $100 per year for a personal license. In contrast, QGIS is free, uses fewer steps, and enables more output formats. The QGIS interface can make data input, processing, and output of an animation slower.

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Schwartze, Christian. "Deriving Hydrological Response Units (HRUs) using a Web Processing Service implementation based on GRASS GIS." Geoinformatics FCE CTU 3 (April 12, 2008): 67–78. http://dx.doi.org/10.14311/gi.3.6.

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QGIS releases equal to or newer than 0.7 can easily connected to GRASS GIS by means of a toolbox that provides a wide range of standard GRASS modules you can launch – albeit only on data coming from GRASS. This QGIS plugin is expandable through XML configurations describing the assignment of options and inputs for a certain module. But how about embedding a precise workflow where the several processes don’t consist of a single GRASS module by force? Especially for a sequence of dependent tasks it makes sense to merge relevant GRASS functionality into an own and encapsulated QGIS extension. Its architecture and development is tested and combined with the Web Processing Service (WPS) for remote execution using the concept of hydrological response units (HRUs) as an example. The results of this assay may be suitable for discussing and planning other wizard-like geoprocessing plugins in QGIS that also should make use of an additional GRASS server.

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Folini, A., E. Lenzi, and C. A. Biraghi. "CLUSTER ANALYSIS: A COMPREHENSIVE AND VERSATILE QGIS PLUGIN FOR PATTERN RECOGNITION IN GEOSPATIAL DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 5, 2022): 151–57. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-151-2022.

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Abstract. As geospatial data continuously grows in complexity and size, the application of Machine Learning and Data Mining techniques to geospatial analysis is increasingly essential to solve real-world problems. Although in the last two decades, the research in this field produced innovative methodologies, they are usually applied to specific situations and not automatized for general use. Therefore, both generalization and integration of these methods with Geographic Information Systems (GIS) are necessary to support researchers and organizations in data exploration, pattern recognition, and prediction in the various applications of geospatial data. In this work, we present Cluster Analysis, a Python plugin that we developed for the open-source software QGIS and offers functionalities for the entire clustering process. Or tool provides different improvements from the current solutions available in QGIS, but also in other widespread GIS software. The expanded features provided by the plugin allow the users to deal with some of the most challenging problems of geospatial data, such as high dimensional space, poor quality of data, and large size of data. To highlight both the potential of the plugin and its limitations in real-world scenarios, the development is integrated with a considerable experimental phase with data of different natures and granularities. Overall, the experimental phase shows good and adequate flexibility of the plugin, and outlines the possibilities for future developments that can be provided also by the QGIS community, given the open-source nature of the project.

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Bhogapurapu, Narayanarao, Subhadip Dey, Dipankar Mandal, Avik Bhattacharya, and Y. Rao. "PolSAR tools: A QGIS plugin for generating SAR descriptors." Journal of Open Source Software 6, no. 60 (April 8, 2021): 2970. http://dx.doi.org/10.21105/joss.02970.

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Vitalis, Stelios, Ken Arroyo Ohori, and Jantien Stoter. "CityJSON in QGIS: Development of an open‐source plugin." Transactions in GIS 24, no. 5 (June 24, 2020): 1147–64. http://dx.doi.org/10.1111/tgis.12657.

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Emelyanov, Igor V., and Anastasia K. Nekrasova. "DDLAFS — QGIS plugin for dominant directions of the local active fault system estimation." Geoinformatika, no. 4 (December 27, 2022): 54–62. http://dx.doi.org/10.47148/1609-364x-2022-4-54-62.

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QGIS is a widely used open-source geographic information system. DDLAFS is a specialized plugin in Python to solve thematic problems. The plugin is designed as a set of functions allowing to calculate the dominant directions of the regional active fault system ψi. The estimation of the dominant directions of the local active fault system is given within a circular area ∆R, where R is a user-defined radius. The centres of regions ∆R should be represented by a set of point objects {g}. These may be epicentres of main shocks, seismogenic nodes, regular grid points, etc. If {g(M)} is represented by data on seismic events, R(g) can be determined depending on the magnitude M of a certain earthquake. The plugin provides an estimate of R(M) using the dependence [11]. For one area, n dominant directions can be determined, each of which corresponds to an empirical value of the probability density distribution of azimuths of active faults, {ψi, pi | i = 1, ... n; ∑pi = 1}. The DDLAFS plugin is designed as part of an anisotropic seismic model in terms of macroseismic intensity [6].

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Sinurat, Meinarty, Ahmad Perwira Mulia, and Muhammad Faisal. "Analisis Spasial Daerah Banjir Menggunakan Hec-Ras dan QGIS untuk Sub Das Babura." Jurnal Health Sains 3, no. 1 (January 22, 2022): 141–62. http://dx.doi.org/10.46799/jsa.v3i1.382.

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Penelitian ini membandingkan antara prediksi kerugian banjir berdasarkan genangan hasil analisa curah hujan dan LIDAR dengan data kuisioner dengan masyarakat sekitar sungai Babura, Medan, Sumatera Utara, Indonesia. Adapun dalam proses penelitian penulis menggunakan data output yang dihasilkan oleh aplikasi He-cras yang selanjutnya dikonversi ke dalam bentuk shapefile dan dilakukan proses pemetaan spasial pada aplikasi QGIS. Dalam analisa QGIS digunakan plugin InaSAFE dimana plugin ini telah dikembangkan beberapa ahli di dunia, yang dalam pengembangannya telah bekerjasama dengan BNPB (Badan Nasional Penanggulangan Bencana) seperti yang dapat dilihat pada layout hasil outcome dari data analisa. Pada penelitian ini juga membahas prediksi jalur evakuasi serta kerugian banjir dari hasil genangan yang muncul baik dari data analisa pengukuran maupun kusioner di lapangan

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Geri, F., O. Cainelli, G. Salogni, P. Zatelli, and M. Ciolli. "SCREENING OF ENVIRONMENTAL IMPACT OF POLLUTION WITH THE QGIS PLUGIN ENVIFATE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W2 (July 5, 2017): 79–83. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w2-79-2017.

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Public and academic interest in environmental pollution caused by toxic substances and other sources, like noise, is constantly raising. To protect public health and ecosystems it is necessary to maintain the concentrations of pollutants below a safety threshold. In this context the development of models able to assess environmental pollution impact has been identified as a priority for future research. Scientific community has therefore produced many predictive models in the field. The vast majority of them needs to be run by specialists with a deep technical knowledge of the modeled phenomena in order to process the data and understand the results and it is not feasible to use this models for simple prescreening activities. Planners, evaluators and technical operators need reliable, usable and simple tools in order to carry out screening analysis of impact assessment. The ENVIFATE software is currently under development by the Department of Civil, environmental and mechanical engineering of the University of Trento, Italy, in the frame of a project funded by the Italian Veneto Region with the aim to make available to nonspecialists screening analysis to assess the risks of a set of possible environmental pollution sources in protected areas. The development of ENVIFATE follows these basic requirements: i) Open-Source ii) multiplatform iii) user friendly iv) GIS oriented. In order to respect these principles we have chosen to develop a plugin of QGIS, using python as a development language and creating a module for each environmental compartment analyzed: rivers, lakes, atmospheric dispersion, dispersion in groundwater and noise. The plugin architecture is composed of a series of core functions characterized by command line interfaces that can be called from third-party applications (such as Grass GIS), connectable in custom data flows and with a high level of modularity and scalability. The base of the different models are highly tested and reliable algorithms adopted by the Italian Institute for Protection and Environmental Research (Istituto Superiore per la Protezione e la Ricerca Ambientale – ISPRA). Due to their simplicity, and for safety reasons, the structure of these models is constrained to provide conservative results, so to overestimate actual risk. This approach allows to provide statistically validated instruments to be used in different environmental contexts. All modules of the plugin provide numerical and cartographical results: in particular the command-line interface provides "static" results, or linked to a particular spatial and temporal state, while the Qgis plugins iterate the single analysis along space and time in order to provide georeferenced maps and time distributed results.

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Tommasini, Maurizio, Alessandro Bacciottini, and Monica Gherardelli. "A QGIS Tool for Automatically Identifying Asbestos Roofing." ISPRS International Journal of Geo-Information 8, no. 3 (March 6, 2019): 131. http://dx.doi.org/10.3390/ijgi8030131.

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Exposure to asbestos fibers implies a long-term risk for human health; therefore, the development of information systems that are able to detect the extent and status of asbestos over a certain territory has become a priority. This work presents a tool (based on the geographic information system open source software, QGIS) that is conceived for automatically identifying buildings with asbestos roofing. The area under investigation is the metropolitan area around Prato (Italy). The performance analysis of this system was carried out by classifying images that were acquired by the WorldView-3 sensor. These images are available at a low cost when compared with those obtained by means of aerial surveys, and they provide adequate resolution levels for roofing classification. The tool, a QGIS plugin, has shown fairly good performance in identifying asbestos roofing, with some false negatives and some false positives when applying a per-pixel classification. A performance improvement is obtainable when considering the percentage of asbestos pixels that are contained in each roof of the analyzed image. This value is also available with the plugin. In the future, this tool should make it possible to monitor the asbestos roof removal process over time in the area of interest, in accordance with other image data that give evidence of such removals.

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Schilling, Jannik, and Jens Tränckner. "Generate_SWMM_inp: An Open-Source QGIS Plugin to Import and Export Model Input Files for SWMM." Water 14, no. 14 (July 20, 2022): 2262. http://dx.doi.org/10.3390/w14142262.

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SWMM is an open-source model and software developed by the US EPA for the simulation of rainfall-runoff and routing in water bodies, sewer systems and wastewater infrastructures. It has been applied in numerous practical works and research projects. For a new SWMM model, objects such as nodes, links and catchments can either be drawn via SWMM’s graphical user interface (GUI) or specified manually in a plain text file in “.inp” format (“input file”). Since the required data regarding sewer geometries and river systems are usually available as spatial data in a GIS environment, there is a need for user-friendly interfaces for the model setup. SWMM contains neither an import function for geodata nor processing tools as provided in geographic information systems (GIS) such as the open-source software QGIS. Existing approaches were script-based or required commercial all-in-one products. We developed a free and open-source QGIS plugin to generate SWMM models from geodata and to import existing SWMM input files into QGIS. An application example is presented to demonstrate the basic features and usage of the plugin.

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Pasanisi, F., and C. Tebano. "A QGIS Plugin for Offshore Wave Hindcasting Based on Geographic Transposition of Wave Gauge Data." Journal of Applied Engineering Sciences 6, no. 2 (December 1, 2016): 33–40. http://dx.doi.org/10.1515/jaes-2016-0015.

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Abstract The paper presents a first experimental version of the original QGIS plugin QWaveTransposition that numerically implements the geographic transposition of wave gauge data method proposed by Contini and De Girolamo (1998) for offshore wave hindcasting. The method allows one to transfer wave data measured at a given gauging station to a virtual station located offshore the area of interest, by comparing the effective fetches at both stations. The QWaveTransposition plugin was implemented in Python programming language, including the NumPy package for numerical computations. A graphical user interface was developed to manage the input/output data and model parameters. The fetch geometry at real and virtual stations can be imported by selecting appropriate vector layers from the QGIS map. An application to a sample site in southern Italy is presented for example purposes.

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Tobias, Michele M., and Alex I. Mandel. "Literature Mapper: A QGIS Plugin for Georeferencing Citations in Zotero." Air, Soil and Water Research 14 (January 2021): 117862212110092. http://dx.doi.org/10.1177/11786221211009209.

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Many studies in air, soil, and water research involve observations and sampling of a specific location. Knowing where studies have been previously undertaken can be a valuable addition to future research, including understanding the geographical context of previously published literature and selecting future study sites. Here, we introduce Literature Mapper, a Python QGIS plugin that provides a method for creating a spatial bibliography manager as well as a specification for storing spatial data in a bibliography manager. Literature Mapper uses QGIS’ spatial capabilities to allow users to digitize and add location information to a Zotero library, a free and open-source bibliography manager on basemaps or other geographic data of the user’s choice. Literature Mapper enhances the citations in a user’s online Zotero database with geo-locations by storing spatial coordinates as part of traditional citation entries. Literature Mapper receives data from and sends data to the user’s online database via Zotero’s web API. Using Zotero as the backend data storage, Literature Mapper benefits from all of its features including shared citation Collections, public sharing, and an open web API usable by additional applications, such as web mapping libraries. To evaluate Literature Mapper’s ability to provide insights into the spatial distribution of published literature, we provide a case study using the tool to map the study sites described in academic publications related to the biogeomorphology of California’s coastal strand vegetation, a line of research in which air movement, soil, and water are all driving factors. The results of this exercise are presented in static and web map form. The source code for Literature Mapper is available in the corresponding author’s GitHub repository: https://github.com/MicheleTobias/LiteratureMapper

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Çalışkan, Murat, and Berk Anbaroğlu. "Geo-MST: A geographical minimum spanning tree plugin for QGIS." SoftwareX 12 (July 2020): 100553. http://dx.doi.org/10.1016/j.softx.2020.100553.

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K, Shibu, and S. Ayoob. "Development of QGIS Plugin to Monitor the Health Condition of a Lake." International Journal of Engineering and Advanced Technology 10, no. 5 (June 30, 2021): 28–32. http://dx.doi.org/10.35940/ijeat.d2540.0610521.

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Monitoring the quality of surface water is an important step towards sustainability of water resources. Quantum Geographic Information System(QGIS) is an opensource desktop application which is used for editing and analysing geospatial data. This study aims to develop a QGIS plugin named Lake Ecosystem Tool to monitor the health condition of a lake in terms of water quality index, trophic state index, hazard quotient, aerial water spread and volumetric changeand the same can be used as a planning tool for the sustainable management of existing water bodies

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Bont, Leo Gallus, Laura Ramstein, Janine Schweier, and Hans Heinimann. "A QGIS Based Workflow for Optimized Cable Road Layout Planning." Environmental Sciences Proceedings 3, no. 1 (November 10, 2020): 103. http://dx.doi.org/10.3390/iecf2020-07768.

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Cable-based technologies have been a backbone for harvesting on steep slopes. The planning of a cable road is a complex task. It essentially comprises the definition of the start and end points of a cable road, as well as the intermediate supports. It must be ensured that the permissible forces (in particular, skyline tensile forces) are not exceeded, that there is a sufficient clearance between the load path and the ground, that suitable anchor trees are found, and that at the same time the number of intermediate supports is minimized as far as possible. On the other hand, for ergonomic and silvicultural reasons (work safety, damages to the forest), the skyline should be as high as possible. In practice, the search for a solution is often iterative; especially with long lines, several attempts may be necessary until a good line is found. The presented QGIS (free and open-source cross-platform desktop geographic information system) plugin searches automatically for the optimal cable road layout, so the planning process can be considerably simplified and obtained solutions are more cost-efficient. The plugin is designed for Central European conditions and assumes a standing skyline (fixed anchored skyline at both ends). For the calculation of the mechanical properties of the skyline, a close to catenary method is used (Zweifel 1960). When testing the feasibility of the cable line, care is taken that (1) the maximum permissible stresses in the skyline are not exceeded, (2) there is a minimum distance between the load path and the ground, and (3) when using a gravitational system, there is a minimum inclination in the load path. The newly developed method calculates the load path curve and the forces occurring in it more accurately than other tools available on the market. We further present a method to identify potential support and anchor trees directly from remote sensing data, which we aim to integrate in a further plugin. This ensures that there are effectively trees at the proposed intermediate positions and that the solution can be implemented in practice.

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KUCUKALI, Alba, Rejdi PJETERNIKAJ, Egin ZEKA, and Artan HYSA. "Evaluating the pedestrian accessibility to public services using open-source geospatial data and QGIS software." Nova Geodesia 2, no. 2 (June 23, 2022): 42. http://dx.doi.org/10.55779/ng2242.

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This study brings a rapid method to utilize the available open-source geospatial data in assessing the pedestrian accessibility to key public services/facilities. At this stage, we are testing the method in the case of Tirana, the capital city of Albania. Yet, the method is reproducible to other metropolitan areas around the world. Open street map (OSM) data and reference layers from Albanian National authority for geospatial information (ASIG geoportal) have been used as the raw material of the study. While the geospatial visualization, refinement, and analysis rely on the usage of QGIS software and the related plugins. QNEAT is the plugin that was used to generate the isochrones which indicate the spatial coverage of a certain service referring to the existing urban transportation/circulation network. The plugin enables the definition of different distance ranges. Our results show that certain public services serve to various amounts of the building stock at a gradient of walking distances. For example, more than 25% of the existing building stock has pedestrian access to caffes and pharmacies within a walking distance of 250 m. The same services serve to almost 90% of the same building stock within 1 km walking distance. However, services like banks are accessible only by 12.6% of the existing buildings within a walking distance of 250 m, and 67% at 1 km walking distance. The accuracy of the available geospatial data resulted to be vital for the reliability of the results. We conclude by highlighting the importance and utility of GIS-based methods of urban analysis in the processes of planning new public services in the city.

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Ollivier, Chloé, Konstantinos Chalikakis, Naomi Mazzilli, Nerantzis Kazakis, Yoann Lecomte, Charles Danquigny, and Christophe Emblanch. "Challenges and Limitations of Karst Aquifer Vulnerability Mapping Based on the PaPRIKa Method—Application to a Large European Karst Aquifer (Fontaine de Vaucluse, France)." Environments 6, no. 3 (March 26, 2019): 39. http://dx.doi.org/10.3390/environments6030039.

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Aquifer vulnerability maps can improve groundwater management for sustainable anthropogenic development. The latest update of karst aquifer vulnerability mapping is named: the Protection of Aquifers base on Protection, Rock type, Infiltration and KArstification (PaPRIKa). This multi-criteria assessment method is based on a weighting system whose criteria are selected according to the aquifer under study. In this study, the PaPRIKa method has been applied in the Fontaine de Vaucluse karst aquifer using the novel plugin for Quantum Geographic Information System (QGIS) software. The Fontaine de Vaucluse karst aquifer is the largest European karst hydrosystem with a catchment area that measures approximately 1162 km 2 . Four thematic maps were produced according to the criteria of protection, rock type, infiltration, and karst development. The plugin expedites the weighting system test and generates the final vulnerability map. At a large scale the vulnerability map is globally linked with primary geomorphological units and at the local scale is mostly affected by karst features that drive hydrodynamics. In conclusion, the novel QGIS plugin standardizes the application of the PaPRIKa method, saves time and prevents user omissions. The final vulnerability map provides useful contributions that are most relevant to groundwater managers and decision-makers. We highlight the sensibility of the vulnerability map to the weighting system and validation issues of the vulnerability map are raised.

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Pereira, Luís Flávio, and Ricardo Morato Fiúza Guimarães. "MAPEANDO USOS/COBERTURAS DA TERRA COM Semi-automatic Classification Plugin: QUAIS DADOS, CLASSIFICADOR E ESTRATÉGIA AMOSTRAL?" Nativa 7, no. 1 (February 1, 2019): 70. http://dx.doi.org/10.31413/nativa.v7i1.6845.

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Este trabalho teve como objetivo sugerir diretrizes para melhor mapear usos da terra usando o complemento Semi-automatic Classification Plugin (SCP) para QGIS, destacando-se quais os melhores conjuntos de dados, classificadores e estratégias amostrais para treinamento. Foram combinados quatro conjuntos de dados derivados de imagem Sentinel 2A, três classificadores disponíveis no SCP, e duas estratégias amostrais: amostras de treinamento (ROI’s) separadas ou dissolvidas em uma única amostra, obtendo-se 24 tratamentos. Os tratamentos foram avaliados quanto à acurácia (coeficiente Kappa), qualidade visual do mapa final e tempo de processamento. Os resultados mostraram que: (1) o SCP é adequado para mapear usos da terra; (2) quanto maior o conjunto de dados, melhor o desempenho do classificador; e (3) a utilização de ROI’s dissolvidas sempre diminui o tempo de processamento, mas apresenta efeito ambíguo sobre os diferentes classificadores. Para melhores resultados, recomenda-se a aplicação do classificador Maximum Likelihood sobre o maior conjunto de dados disponível, utilizando-se amostras de treinamento coletadas contemplando todas as variações intraclasse, e posteriormente dissolvidas em uma única ROI.Palavras-chave: sensoriamento remoto, amostras de treinamento, QGIS, Sentinel 2A,MAPPING LAND USES/COVERS WITH SEMI-AUTOMATIC CLASSIFICATION PLUGIN: WHICH DATA SET, CLASSIFIER AND SAMPLING DESIGN? ABSTRACT: This paper aimed to suggest guidelines to better map land uses using the Semi-automatic Classification Plugin (SCP) for QGIS, highlighting which the best data sets, classifiers and training sampling designs. Four data sets from a Sentinel 2A image were combined with three classifiers available in the SCP, and two sampling designs: separate or dissolved training samples (ROI's) in a single sample, obtaining 24 treatments. The treatments were evaluated regarding the accuracy (Kappa coefficient), visual quality of the final map and processing time. The results suggest that: (1) the SCP is suitable to map land uses; (2) the larger the data set, the better the classifier performance; and (3) the use of dissolved ROI always decreases processing time, but has an ambiguous effect on the different classifiers. In order to get better results, we recommend to apply the Maximum Likelihood classifier on the largest data set available, using training samples that cover all possible intraclass variations, subsequently dissolved in a single ROI.Keywords: remote sensing, training samples, QGIS, Sentinel 2A.

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Solymosi, Norbert, Sara E. Wagner, Ákos Maróti-Agóts, and Alberto Allepuz. "maps2WinBUGS: a QGIS plugin to facilitate data processing for Bayesian spatial modeling." Ecography 33, no. 6 (November 25, 2010): 1093–96. http://dx.doi.org/10.1111/j.1600-0587.2010.06598.x.

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Ellsäßer, Florian, Alexander Röll, Christian Stiegler, Hendrayanto, and Dirk Hölscher. "Introducing QWaterModel, a QGIS plugin for predicting evapotranspiration from land surface temperatures." Environmental Modelling & Software 130 (August 2020): 104739. http://dx.doi.org/10.1016/j.envsoft.2020.104739.

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Rossetto, Rudy, Alberto Cisotto, Nico Dalla Libera, Andrea Braidot, Luca Sebastiani, Laura Ercoli, and Iacopo Borsi. "ORGANICS: A QGIS Plugin for Simulating One-Dimensional Transport of Dissolved Substances in Surface Water." Water 14, no. 18 (September 13, 2022): 2850. http://dx.doi.org/10.3390/w14182850.

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Surface water in streams and rivers is a valuable resource and pollution events, if not tackled in time, may have dramatic impacts on aquatic ecosystems. As such, in order to prepare pollution prevention plans and measures or to set-up timely remedial options, especially in the early stages of pollution incidents, simulation tools are of great help for authorities, with specific reference to environmental protection agencies and river basin authorities. In this paper, we present the development and testing of the ORGANICS plugin embedded in QGIS. The plugin is a first attempt to embed surface water solute transport modelling into GIS for the simulation of the concentration of a dissolved substance (for example an organic compound) in surface water bodies including advection dispersion and degradation. This tool is based on the analytical solution of the popular advection/dispersion equation describing the transport of contaminants in surface water. By providing as input data the concentration measured at the entry point of a watercourse (inlet boundary condition) and the average speed of the surface water, the model simulates the concentration of a substance at a certain distance from the entry point, along the profile of the watercourse. The tool is first tested on a synthetic case. Then data on the concentration of the pharmaceutical carbamazepine monitored at the inlet and outlet of a vegetated channel, in a single day, are used to validate the tool in a real environment. The ORGANICS plugin aims at popularizing the use of simple modelling tools within a GIS framework, and it provides GIS experts with the ability to perform approximate, but fast, simulations of the evolution of pollutants concentration in surface water bodies.

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Baiocchi, Valerio, Francesca Giannone, Felicia Monti, and Felicia Vatore. "ACYOTB Plugin: Tool for Accurate Orthorectification in Open-Source Environments." ISPRS International Journal of Geo-Information 9, no. 1 (December 20, 2019): 11. http://dx.doi.org/10.3390/ijgi9010011.

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High-resolution satellite images must undergo a geometric rectification process in order to be used for metrical purposes. This operation, called orthorectification, is necessary because of deformations mainly due to camera distortions and acquisition geometry. To correctly orthorectify an image, it is necessary to accurately reconstruct the photogrammetric-acquisition characteristics and the image position with respect to a reference system connected to the ground. This operation, called orientation, can be done using various mathematical models such as rigorous, rational polynomial function (RPF), and rational polynomial coefficient, or, according to some authors, rapid positioning coefficient (RPC) models. Orientation and orthorectification are usually performed within specific commercial software, but in QGIS, these complex operations can be performed using the open libraries of the Orfeo Tool Box (OTB). Unfortunately, instructions given by OTB developers lead to scarce results. In fact, the procedure proposed in OTB does not allow for the full exploitation of the potential of RPC models, on which OTB itself is based. As OTB is open-source software, a plugin was developed to overcome these limitations and exploit its full potential. In fact, OTB interfaces are unfortunately essential, and some necessary functions are missing. Therefore, a new QGIS plugin was developed in order to run the entire process in the most photogrammetrically and statistically correct way, and, at the same time, to simplify the relative procedures.

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Morgunov, G. I., and ,. A. V. Orlovsky. "QGIS WEB CLIENT 2 – NEW TECHNOLOGY FOR WEB GEODATA PUBLISHING." ECOLOGY ECONOMY INFORMATICS. GEOINFORMATION TECHNOLOGIES AND SPACE MONITORING 2, no. 6 (2021): 28–31. http://dx.doi.org/10.23885/2500-123x-2021-2-6-28-31.

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This paper focuses on Quantum GIS (QGIS), an open-source cross-platform application that allows to visualize geospatial data in various formats. The paper indicated the main advantages of QGIS web application (second version) – QGIS Web Client 2: free distribution; free access to open-source code, which allows to write or modify a script or program module; permission to modify the source code; the ability to install the program on various operating systems (Windows, Mac OS, Ubuntu, etc.); a large library of free modules for working with geodata; the ability to publish maps on the web using Mapserver and other analogs; the ability to download space images from different sources (Yandex, Google, Bing Aerial, etc.); the ability to post data and publish projects on the Internet using the QGIS Cloud plugin. The technical requirements for the design of the QWC2 web application are presented; instructions for installing and QWC2 configuration on the available infrastructure are also given. The testing and the functionality of QWC2 application were presented on practical examples (area / length / coordinate measurements; thumbnail / redline functionality; generation of permalinks; PDF printing; ability to export maps in different images; import WMS/WFS; map comparison).

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Ben, Franciele Delevati, Giorge Gabriel Schnorr, and Luís Eduardo de Souza Robaina. "Análise das relações de uso da terra e desenvolvimento econômico no município de Nova Esperança do Sul, Rio Grande do Sul, Brasil." Ciência e Natura 44 (June 3, 2022): e21. http://dx.doi.org/10.5902/2179460x67536.

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Este trabalho tem como objetivo analisar a espacialização do uso da terra e discutir os dados socioeconômicos no município de Nova Esperança do Sul. A análise do uso e ocupação da terra disponibiliza informações que permitem analisar conflitos, levantando dados e aspectos físicos da área de estudo. Com o avanço das tecnologias e do sensoriamento remoto, é possível observar com mais facilidade as mudanças e os impactos causados pela ação humana. O uso de geotecnologias auxilia as análises do uso e ocupação da terra, avaliação do desenvolvimento econômico e as áreas de preservação permanentes (APPs). O mapeamento utilizou imagem SENTINEL com a sua interpretação através da utilização do plugin SCP (Semi-Automatic Classification Plugin) no software Qgis 3.16 e a geração de layout dos mapas no Qgis 3.10.13. Foram identificadas as classes floresta, lavouras, campos, corpos d’água e área urbana. Através das análises foi possível identificar que no município de Nova Esperança do Sul existe a predominância de lavouras de soja e nas áreas de campo a criação de bovinos que são importantes para a economia do município. Uma importante atividade econômica no município é a indústria de couro que tem por função produzir, entregar e fornecer internacionalmente artigos em couro para estofados residenciais e automotivos.

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Guo, Zizheng, Ona Torra, Marcel Hürlimann, Clàudia Abancó, and Vicente Medina. "FSLAM: A QGIS plugin for fast regional susceptibility assessment of rainfall-induced landslides." Environmental Modelling & Software 150 (April 2022): 105354. http://dx.doi.org/10.1016/j.envsoft.2022.105354.

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Ollivier, Chloé, Yoann Lecomte, Konstantinos Chalikakis, Naomi Mazzilli, Charles Danquigny, and Christophe Emblanch. "A QGIS Plugin Based on the PaPRIKa Method for Karst Aquifer Vulnerability Mapping." Groundwater 57, no. 2 (January 31, 2019): 201–4. http://dx.doi.org/10.1111/gwat.12855.

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Molina-Navarro, Eugenio, Anders Nielsen, and Dennis Trolle. "A QGIS plugin to tailor SWAT watershed delineations to lake and reservoir waterbodies." Environmental Modelling & Software 108 (October 2018): 67–71. http://dx.doi.org/10.1016/j.envsoft.2018.07.003.

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Castelli, Marta, Giulia Torsello, and Gianmarco Vallero. "Preliminary Modeling of Rockfall Runout: Definition of the Input Parameters for the QGIS Plugin QPROTO." Geosciences 11, no. 2 (February 14, 2021): 88. http://dx.doi.org/10.3390/geosciences11020088.

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The identification of the most rockfall-prone areas is the first step of the risk assessment procedure. In the case of land and urban planning, hazard and risk analyses involve large portions of territory, and thus, preliminary methods are preferred to define specific zones where more detailed computations are needed. To reach this goal, the QGIS-based plugin QPROTO was developed, able to quantitatively compute rockfall time-independent hazard over a three-dimensional topography on the basis of the Cone Method. This is obtained by combining kinetic energy, passing frequency and detachment propensity of each rockfall source. QPROTO requires the definition of few angles (i.e., the energy angle ϕp and the lateral angle α) that should take into account all the phenomena occurring during the complex block movement along the slope. The outputs of the plugin are a series of raster maps reporting the invasion zones and the quantification of both the susceptibility and the hazard. In this paper, a method to relate these angles to some characteristics of the block (volume and shape) and the slope (inclination, forest density) is proposed, to provide QPROTO users with a tool for estimating the input parameters. The results are validated on a series of case studies belonging to the north-western Italian Alps.

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Sebbah, Boutaina, Otmane Yazidi Alaoui, Miriam Wahbi, Mustapha Maâtouk, and Nizar Ben Achhab. "QGIS-Landsat Indices plugin (Q-LIP): Tool for environmental indices computing using Landsat data." Environmental Modelling & Software 137 (March 2021): 104972. http://dx.doi.org/10.1016/j.envsoft.2021.104972.

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Nielsen, Anders, Fenjuan Rose Schmidt Hu, Nicolas Azaña Schnedler-Meyer, Karsten Bolding, Tobias Kuhlmann Andersen, and Dennis Trolle. "Introducing QWET – A QGIS-plugin for application, evaluation and experimentation with the WET model." Environmental Modelling & Software 135 (January 2021): 104886. http://dx.doi.org/10.1016/j.envsoft.2020.104886.

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Souza, Gabriela Cristina, José Eduardo Calcinoni, and Fabrício Murilo Beker. "Caracterização dos bancos de areia causados pelo assoreamento na Boca da Barra do Canal do Linguado em Balneário Barra do Sul." Metodologias e Aprendizado 2 (May 15, 2020): 22–27. http://dx.doi.org/10.21166/metapre.v2i0.1017.

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Este estudo foi realizado no Canal do Linguado, localizado norte estado de Santa Catarina (SC). O delineamento de estudo acondiciona-se em área consolidada no município de Balneário Barra do Sul (SC) para mapear áreas suscetíveis à processos de assoreamento, contempla o Canal do Linguado que vai da Br 280 até a Boca da Barra, local onde o canal encontra a saída para o mar. O processamento das imagens foi efetuado no software Qgis por meio do plugin Quick Map Services e Google Earth.

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Pereira, Gustavo Willam, Domingos Sárvio Magalhães Valente, Daniel Marçal de Queiroz, André Luiz de Freitas Coelho, Marcelo Marques Costa, and Tony Grift. "Smart-Map: An Open-Source QGIS Plugin for Digital Mapping Using Machine Learning Techniques and Ordinary Kriging." Agronomy 12, no. 6 (June 1, 2022): 1350. http://dx.doi.org/10.3390/agronomy12061350.

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Machine Learning (ML) algorithms have been used as an alternative to conventional and geostatistical methods in digital mapping of soil attributes. An advantage of ML algorithms is their flexibility to use various layers of information as covariates. However, ML algorithms come in many variations that can make their application by end users difficult. To fill this gap, a Smart-Map plugin, which complements Geographic Information System QGIS Version 3, was developed using modern artificial intelligence (AI) tools. To generate interpolated maps, Ordinary Kriging (OK) and the Support Vector Machine (SVM) algorithm were implemented. The SVM model can use vector and raster layers available in QGIS as covariates at the time of interpolation. Covariates in the SVM model were selected based on spatial correlation measured by Moran’s Index (I’Moran). To evaluate the performance of the Smart-Map plugin, a case study was conducted with data of soil attributes collected in an area of 75 ha, located in the central region of the state of Goiás, Brazil. Performance comparisons between OK and SVM were performed for sampling grids with 38, 75, and 112 sampled points. R2 and RMSE were used to evaluate the performance of the methods. SVM was found superior to OK in the prediction of soil chemical attributes at the three sample densities tested and was therefore recommended for prediction of soil attributes. In this case study, soil attributes with R2 values ranging from 0.05 to 0.83 and RMSE ranging from 0.07 to 12.01 were predicted by the methods tested.

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Gede, Mátyás. "Using Cesium for 3D Thematic Visualisations on the Web." Proceedings of the ICA 1 (May 16, 2018): 1–4. http://dx.doi.org/10.5194/ica-proc-1-45-2018.

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Cesium (http://cesiumjs.org) is an open source, WebGL-based JavaScript library for virtual globes and 3D maps. It is an excellent tool for 3D thematic visualisations, but to use its full functionality it has to be feed with its own file format, CZML. Unfortunately, this format is not yet supported by any major GIS software. This paper intro- duces a plugin for QGIS, developed by the author, which facilitates the creation of CZML file for various types of visualisations. The usability of Cesium is also examined in various hardware/software environments.

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Herison, Ahmad, Yuda Romdania, Ahmad Zakaria, and Sandy Kusuma. "Design and Implementation of WebGIS Marine Ecotourism Area, Tegal Island, Lampung Province." Jurnal SPATIAL Wahana Komunikasi dan Informasi Geografi 19, no. 2 (December 31, 2019): 27–43. http://dx.doi.org/10.21009/spatial.192.4.

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Tegal Island has the potential and diversity of marine tourism which is an attraction for tourists. However, information is not yet available that can help tourists in knowing the objects and tourist areas contained in Tegal Island. This research presents tourism information in Tegal Island in the form of a Geographic Information System map. The mapping method is done using Quantum GIS software with the help of the QuickMapServices (QMS) plugin to display Google Earth imagery and the qgis2web plugin to convert QGIS files (.qgz) into web maps (WebGIS) and the presence of tourist index input. The mapping results obtained digitization of each tourist object and facility on Tegal Island in the form of shapefiles (.shp) as well as information displayed on the attribute table layer. WebGIS is used as a media for GIS map renderers that is easily accessed and adjusted according to the JavaScript Leaflet library (open source). Map of Geographic Information Systems makes it easy for people to convey and search for tourist information on Tegal Island.

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Wirawan, Tomi, Denny Helard, and Puti Sri Komala. "EVALUASI SISTEM JARINGAN DISTRIBUSI DAN PERENCANAAN PENGENDALIAN TEKANAN PADA ZONA SPAM JAWA GADUT, KECAMATAN PAUH, PDAM KOTA PADANG." JURNAL REKAYASA 10, no. 1 (September 23, 2020): 121–36. http://dx.doi.org/10.37037/jrftsp.v10i1.51.

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Penelitian ini dilatarbelakangi oleh indikasi tingginya tingkat Non Revenue Water (NRW) melalui yang ditandai tingkat komplain dan tingkat kebocoran yang cukup tinggi pada kawasan Sistem Penyediaan Air Minum (SPAM) Jawa Gadut, Kelurahan Limau Manis Selatan Kecamatan Pauh, Kota Padang. Penelitian dimulai dari mengevaluasi SPAM eksisting dan merencanakan kembali zona SPAM menggunakan plugin QWater v.3.1.7 dari QGIS v.3.4.9 yang mengintegrasikan Epanet dengan QGIS. Simulasi hidrolis per periode waktu atau Extended Period Simulation (EPS) untuk mengevaluasi kondisi hidrolis, tekanan dan kecepatan aliran terutama pada saat aliran maksimum (jam 06.00 WIB) dan pada saat aliran minimum (jam 03.00 WIB). Dari hasil simulasi diperoleh sisa tekanan melebihi 100 mka pada 51 node dari 146 node atau 35% pelayanan. Selanjutnya dilakukan optimalisasi dan pengendalian tekanan menggunakan 2 unit Pressure Reducing Valve (PRV), agar atau sehingga diperoleh sisa tekanan sesuai dengan kriteria teknis minimal yaitu rata-rata diatas 10 mka pada saat jam puncak dan tidak melebihi 100 mka pada saat jam aliran minimum. Dengan pengendalian tekanan, maka diharapkan NRW fisik pada zona SPAM Jawa Gadut dapat diturunkan sesuai dengan target yang diinginkan.

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Nowak, Maciej M., Jakub Skowroński, Katarzyna Słupecka, and Jakub Nowosad. "Introducing tree belt designer - A QGIS plugin for designing agroforestry systems in terms of potential insolation." Ecological Informatics 75 (July 2023): 102012. http://dx.doi.org/10.1016/j.ecoinf.2023.102012.

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Panidi, E., I. Rykin, P. Kikin, and A. Kolesnikov. "CLOUD-DESKTOP REMOTE SENSING DATA MANAGEMENT TO ENSURE TIME SERIES ANALYSIS, INTEGRATION OF QGIS AND GOOGLE EARTH ENGINE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 553–57. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-553-2020.

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Abstract. Our context research is conducted to investigate the possibility of common application of the remote sensing and ground-based monitoring data to detection and observation of the dynamics and change in climate and vegetation cover parameters. We applied the analysis of the annual graphs of Normalized Difference Water Index to estimate the length and time frames of growing seasons. Basing on previously gained results, we concluded that we can use the Index-based monitoring of growing season parameters as a relevant technique. We are working on automation of computations that can be applied to processing satellite imagery, computing Normalized Difference Water Index time series (in the forms of maps and annual graphs), and estimation of growing season parameters. As currently used data amounts are big (or up-to-big) geospatial data, we use the Google Earth Engine platform to process initial datasets. Our currently described experimental work incorporates investigation of the possibilities for integration of cloud computing data storage and processing with client-side data representation in universal desktop GISs. To ensure our study needs we developed a prototype of a QGIS plugin capable to run processing in GEE and represent results in QGIS.

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Kuular, Khulermaa B. "Estimation of the vegetation diversity of the Western Tannu-Ola Range." E3S Web of Conferences 149 (2020): 03005. http://dx.doi.org/10.1051/e3sconf/202014903005.

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This paper discusses the main indicators diversity of vegetation in key areas of the northern macro slope of the Western Tannu-Ola Range. The degree of forest cover and vegetation fragmentation were estimated using Landsat-TM/ ETM+/OLI images for June 25, 1992, June 18, 1998 and June 24, 2015 in QGIS using the plugin Landscape Ecology. The Simpson index shows of increasing biodiversity in different altitudes. The results showed that with increasing climate warming in the region and maintaining this trend, the proportion of dark coniferous forest at all altitude levels (foothill, mid-elevation and high-elevation zones) will increase. And this led to a decrease in the fragmentation of the forest cover of northern macro slope of this range.

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Silva, Camilo Vinícius Trindade, Jacques Carvalho Ribeiro Filho, Paulo Cesar Moura da Silva, Luis César de Aquino Lemos Filho, and José Bandeira Brasil. "CARACTERIZAÇÃO MORFOMÉTRICA, USO E OCUPAÇÃO DE UMA BACIA HIDROGRÁFICA." REVISTA ENGENHARIA NA AGRICULTURA - REVENG 25, no. 5 (November 24, 2017): 436–44. http://dx.doi.org/10.13083/reveng.v25i5.828.

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Objetivou-se com este trabalho delimitar e caracterizar morfometricamente uma bacia hidrográfica por meio de software livre QGIS. Realizou-se a delimitação e caracterização física, bem como o uso e ocupação do terreno da bacia hidrográfica do Rio Cobra no Estado do Rio Grande do Norte, Brasil. Para a realização da caracterização física e determinação da rede de drenagem utilizou-se o complemento Terrain Analysis Using Digital Elevation Models – TauDEM, e para o uso e ocupação do terreno aplicou-se a técnica de classificação semiautomática de uma imagem do satélite Sentinel – 2, por meio da extensão Semi-Automatic Classification Plugin – SCP. A BHRC possui área de 162,7 km² e perímetro de 116,24 Km e apresenta uma baixa tendência a enchentes. Exibe forma comprida, indicando condições favoráveis à conservação. Verifica-se predominância das classes de relevo suavemente ondulado. Em termos de ocupação da terra, há predominância na BHRC de área vegetada com 114,61 Km² (70,7%). Nota-se ainda que apenas 0,46 km² da área corresponde a classe denominada mata ciliar. Constatou-se que os procedimentos de delimitação e caracterização física da bacia por meio do QGIS e seus complementos são úteis para a promoção de estudos na área ambiental e de recursos hídricos.

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Duarte, Lia, Pedro Silva, and Ana Teodoro. "Development of a QGIS Plugin to Obtain Parameters and Elements of Plantation Trees and Vineyards with Aerial Photographs." ISPRS International Journal of Geo-Information 7, no. 3 (March 14, 2018): 109. http://dx.doi.org/10.3390/ijgi7030109.

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Journal articles on the topic 'Plugin QGIS'

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