Academic literature on the topic 'Plugin QGIS'
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Journal articles on the topic "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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<p><strong>Abstract.</strong> The Federal University of Paraná (UFPR) has 26 different Campi in several cities in the Parana State, Brazil; in total are 11 million m<sup>2</sup> of area, with 500 thousand m<sup>2</sup> 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.</p><p> 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.</p><p> 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.</p><p> 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.</p><p> 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><p>Figure 1 presents this process.</p><p>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.</p>
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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.
Dissertations / Theses on the topic "Plugin QGIS"
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Ameri, Keivan. "Analisi e sviluppo di un modulo di quantificazione georeferenziata del rischio di incidente a condotte sottomarine." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20909/.
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La presente tesi riguarda l’automatizzazione dello studio dell’interazione del traffico marittimo con le condotte sottomarine grazie alla messa a punto di un plugin per l’applicazione open-source QGIS.
Partendo da un database SpatiaLite (estensione spaziale di SQLite per la gestione di dati geografici), che si riferisce ad un determinata condotta sottomarina, l’obiettivo principale del lavoro è stato quello di automatizzare tramite un plugin, il caricamento di layer e grafici su QGIS. Tale automazione è stata pensata con il fine di permettere a utenti non pratici con i sistemi GIS, di poter visualizzare i layer e i grafici necessari alle loro esigenze, con il minimo sforzo. Inoltre, risulta fondamentale anche al fine di ridurre le tempistiche di tali operazioni.
Il database è formato da tabelle contenenti informazioni relative alla condotta, alle rotte delle navi che interessano la condotta analizzata, ai punti di crossing, a dati provenienti dal Sistema di Identificazione Automatica del traffico navale, AIS, e a determinati fattori di rischio relativi al danneggiamento della condotta.
Si è effettuata una panoramica generale in merito al Sistema di Identificazione Automatica del traffico navale, del suo funzionamento, di come sono strutturati i suoi dati e quali sono i suoi limiti. Successivamente si descrivono i software e le tecnologie utilizzate durante la realizzazione del progetto di laurea. In particolare, viene effettuata una panoramica generale in merito a QGIS, SQLite e Qt Designer. A seguire viene descritta la fase di studio e di analisi del rischio di danneggiamento della pipeline, ponendo maggiore attenzione sul rischio di danneggiamento dovuto all’impatto da caduta di container da porta-container in transito. Si conclude la tesi con una descrizione accurata del plugin realizzato durante l’attività di tirocinio in preparazione alla tesi di laurea. Il plugin rappresenta la messa in pratica di tutte le conoscenze descritte nelle fasi precedenti.
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Ollivier, Chloé. "Caractérisation et spatialisation de la recharge des hydrosystèmes karstiques : Application à l'aquifère de Fontaine de Vaucluse, France A QGIS Plugin Based on the PaPRIKa Method for Karst Aquifer Vulnerability Mapping Challenges and Limitations of Karst Aquifer Vulnerability Mapping Based on the PaPRIKa Method—Application to a Large European Karst Aquifer (Fontaine de Vaucluse, France)." Thesis, Avignon, 2019. http://www.theses.fr/2019AVIG0056.
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La recharge des hydrosystèmes karstiques dépend des conditions climatiques, de la transpiration de la végétation, de l’évaporation des sols, des propriétés du sol et de l’hétérogénéité du karst. Elle dépend donc de nombreux facteurs variables dans le temps et dans l’espace, nous souhaitons caractériser et localiser les variations de la recharge d’hydrosystèmes karstiques à l’échelle régionale (plurikilométrique). La recharge peut être diffuse ou concentrée selon l’hétérogénéité du karst, ce qui limite à la fois les possibilités de mesures et de modélisations. Bien que l’évapotranspiration conditionne fortement la recharge du karst, l’évaluation de sa dynamique spatiotemporelle est souvent simplifiée. La calibration des paramètres du modèle hydrogéologique peut compenser les erreurs d’estimation de l’évapotranspiration et de la recharge donc, sans contrainte extérieure, la validation des simulations reste difficile. Afin de connaitre la distribution spatiotemporelle de la recharge du karst nous proposons un modèle conceptuel semi-distribué de l’hydrosystème (KaRaMel) associé à un modèle conceptuel semi-distribué de l’évapotranspiration (SimpKcET). Les outils développés sont appliqués au vaste hydrosystème de la Fontaine de Vaucluse (Sud-Est de la France). Les résultats montrent que (1) l’utilisation des indices de végétation, fournis par les mesures satellites, permet une estimation réaliste de la dynamique spatiotemporelle de l’évapotranspiration pour tous les types de végétations ; (2) la distribution spatiale des paramètres du modèle conceptuel semi-distribué du karst peut facilement être contrainte avec des informations sur les sols (réserve utile) et sur l’hydrosystème (vulnérabilité intrinsèque) ; (3) une boite à outils pour le système d’information géographique (QGIS) a été développée afin de faciliter la cartographie de la vulnérabilité intrinsèque des aquifères karstiques avec la méthode PaPRIKa ; (4) KaRaMel + SimpKcET permet à la fois de connaître la répartition spatiotemporelle des stocks et une estimation fiable des débits de l’exutoire de l’aquifère; (5) la recharge journalière, mensuelle et annuelle varie considérablement dans l’espace et dans le temps, les zones les plus contributives évoluant d’une année à l’autre ; (6) les débits de la Fontaine de Vaucluse sont sensibles à la distribution spatiale de la rechargeThe recharge of karst hydrosystems depends on climatic conditions, vegetation transpiration, soil evaporation, soil properties and karst heterogeneity. Recharging therefore depends on many factors that vary in time and space, and we wish to characterize and locate variations in the recharge of karst hydrosystems on a regional scale. The recharge can be diffuse or concentrated depending on the heterogeneity of the karst, which limits both measurement and modelling possibilities. Although evapotranspiration strongly influences the recharge of karst, the assessment of its spatiotemporal dynamics is often simplified. Calibration of the hydrogeological model parameters can compensate errors in estimating evapotranspiration and recharge and without external constraints, validation of the simulations remains difficult. In order to know the spatial and temporal distribution of karst recharge we propose a semi-distributed conceptual model of the hydrosystem (KaRaMel) associated with a semi-distributed conceptual model of evapotranspiration (SimpKcET). The tools developed are applied to the vast hydrosystem of the Fontaine de Vaucluse (South-East France). The results show that (1) the use of vegetation indices, provided by remote sensing, provides a realistic estimate of the spatiotemporal dynamics of evapotranspiration for all types of vegetation; (2) the spatial distribution of the parameters of the semi-distributed model can easily be constrained with information on soils (soil available water capacity) and on the hydrosystem (intrinsic vulnerability); (4) A toolbox for geographic information systems has been developed to facilitate the mapping of the intrinsic vulnerability of karst aquifers using the PaPRIKa method; (3) KaRaMel + SimpKcET provides both the spatial and temporal distribution of stocks and a reliable estimate of the aquifer discharges ; (4) daily, monthly and annual recharges change considerably in space and time, the most contributing areas varying from one year to the next; (5) the discharges of the Fontaine de Vaucluse are sensitive to the spatial distribution of the recharge
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Viana, Gabriela Santos. "Elaboração de um plugin em QGIS no âmbito do projecto Marine-EO na Telespazio Ibérica." Master's thesis, 2021. http://hdl.handle.net/10362/121652.
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Internship Report presented as the partial requirement for obtaining a Master's degree in Geographic Information Systems and ScienceO objectivo central do presente relatório é descrever detalhadamente o período de estágio na Telespazio Ibérica. A raiz do meu trabalho como estagiária passou por garantir que todas as tarefas relacionadas com o plugin implementado no âmbito do projecto Marine-EO eram realizadas com sucesso, ligando sempre a componente de código e a interface gráfica do utilizador. Durante este período investiguei bastante sobre a linguagem Python e como esta podia conceber várias funções para as demais ferramentas do plugin através da junção de Python e software QGIS: PyQGIS. As tarefas realizadas têm o intuito de ajudar o utilizador a congregar um conjunto de informações através de uma plataforma e de um software, nas áreas de interesse, dentro da Europa. Neste relatório será demonstrada a arquitectura do projecto, os vários passos desde a arquitectura à construção de formulários do QGIS, tendo em conta a prática de código Python num Ambiente Integrado de Desenvolvimento. Os resultados do estágio tiveram um grande impacto na capacidade de orientar resultados e ser incentivada constantemente a pesquisar soluções para os problemas propostos. Ganhei outra perspectiva dos SIG e curiosidade de incluir cada vez mais a parte da programação no meu dia-a-dia como estudante e trabalhadora. Além disto posso afirmar que estando a realizar o estágio fora da zona de conforto – estar num país que não é o meu e ser uma área completamente nova para mim – foi uma tarefa muito desafiante que acabou por ser superada e proveitosa.
The main objective of this report is to describe in detail the traineeship period at Telespazio Ibérica. The root of my work as an intern was to ensure that all tasks related to the plugin implemented under the Marine-EO project were carried out successfully, always adding the code component and the graphical user interface. During this period, I investigated a lot about the Python language and how to conceive several functions for the other tools of the plugin through the combination of Python and QGIS software: PyQGIS. The tasks performed are intended to help the user to aggregate a set of information through a platform and GIS software, in the areas of interest, inside Europe. This report will demonstrate the architecture of the project, the various steps from the architecture to the QGIS viewing windows, considering the practice of Python code in an Integrated Development Environment. The results of the traineeship had a great impact on my ability to guide results and to be constantly encouraged to search for solutions to the proposed problems. I gained another perspective from GIS and curiosity to include more and more the programming part in my day-to-day life as a student and worker. In addition to this I can state that while doing the traineeship outside the comfort-zone – being in a country that is not mine and being a completely new area for me – it was very challenging task that ended up being overcome and profitable.
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Silva, Pedro Frederico Pereira da. "Desenvolvimento de um plugin em ambiente SIG open source (QGIS) para obter parâmetros e métricas de copas de árvores, através de imagens adquiridas por VANTs." Master's thesis, 2017. https://hdl.handle.net/10216/110581.
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Silva, Pedro Frederico Pereira da. "Desenvolvimento de um plugin em ambiente SIG open source (QGIS) para obter parâmetros e métricas de copas de árvores, através de imagens adquiridas por VANTs." Dissertação, 2017. https://hdl.handle.net/10216/110581.
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Aquilino, Mariella. "Earth Observation for Sustainable Development Goal 11: methods and tools in support of policies for resilient and inclusive cities." Doctoral thesis, 2022. http://hdl.handle.net/11589/237618.
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L’obiettivo di questo lavoro è l’implementazione di metodi e strumenti basati sui dati di Osservazione della Terra (EO) a supporto dell'Obiettivo di Sviluppo Sostenibile (SDG) 11 dell'Agenda 2030 dell’Organizzazione delle Nazioni Unite (ONU), che mira a “Rendere le città e gli insediamenti umani inclusivi, sicuri, resilienti e sostenibili”. I dati EO sono stati recentemente riconosciuti come una fonte di informazioni fondamentale per la stima degli indicatori SDG. La distribuzione spaziale e densità della popolazione e le mappe degli insediamenti, ottenute da rilievi e metodologie basate su dati EO, sono considerate, nello specifico, variabili essenziali necessarie a quantificare gli indicatori SDG 11. Tuttavia, la complessità della gestione e dell'elaborazione dei dati EO rende difficile l'integrazione e l'utilizzo di tali dati nelle strategie di monitoraggio degli SDG adottate dai decisori politici locali. Inoltre, gli Enti Locali e Regionali (LRAs), impegnati ad affrontrare quotidianamente le problematiche di crescita urbana che interessano le grandi città, necessitano di indicatori a scala intraurbana per disegnare politiche adeguate all'Obiettivo SDG 11 mentre, invece, la comunità scientifica fornisce loro solo indicatori a scala nazionale, regionale o macro-urbana. Per colmare tali lacune, questo lavoro propone un nuovo avanzato metodo dasimetrico vettoriale (disponibile in diverse versioni e implementazioni) che permette di generare mappe di densità della popolazione aggiornate, affidabili e ad alta risoluzione spaziale 100 x 100 m.
Per quanto riguarda gli insediamenti, invece, lo studio propone due diverse tecniche di classificazione automatica, data-driven pixel-based o, in alternativa, knowledge-driven object-based. I dati satellitari usati come input sono immagini Sentinel-2 multistagionali e prive di nuvole, scaricabili gratuitamente dal Copernicus Open Access Hub dell'Agenzia Spaziale Europea (ESA).
Le mappe di densità di popolazione e degli insediamenti vengono usate come input per calcolare l'indicatore SDG 11.3.1. —"Rapporto tra il tasso di consumo di suolo e il tasso di crescita della popolazione", conosciuto anche come indicatore di efficienza nell'uso del suolo (LUE). Integrando le stesse variabili essenziali con altre informazioni specifiche settoriali, come dati catastali, rete stradale, mappe di inquinanti atmosferici e dei rischi naturali, è possibile calcolare ulteriori indicatori e sotto-indicatori SDG 11 (quali SDG 11.1.1., 11.2.1 e 11.6.2) a scala intra-urbana. Gli indicatori così ottenuti, se osservati nel tempo e per unità di area, possono fornire trend utili per il monitoraggio dell'andamento degli Obiettivi dell'Agenda ONU 2030.
Una serie di strumenti dedicati al calcolo automatico degli input degli indicatori SDG 11, sono stati sviluppati per rendere le procedure riproducibili per altre città. Per condividere e facilitare l'invocazione dei workflow scientifici da parte di potenziali stakeholder, anche non dotati di conoscenze specifiche nel dominio EO, sono stati utilizzati un plugin implementato in QGIS e una piattaforma su cloud (VLab).
Nell'area di studio di Bari, tutti gli indicatori sopra elencati nonché le loro variazioni (2011–2020) — stimate nei casi in cui i dati erano disponibili per entrambe le epoche— sono stati quantificati sia per la popolazione totale che per la componente dei migranti regolari, distinti per nazionalità di origine. La valutazione del tasso di crescita della popolazione e degli indicatori evidenzia, a Bari, che gli abitanti autoctoni e i migranti regolarmente residenti seguono logiche insediative differenti. La vicinanza ad aree centrali dove si trovano scuole, ospedali e altri servizi, nonché un più facile accesso ai trasporti pubblici (indicatore SDG 11.2.1), sembra favorire la crescita delle comunità migranti. I residenti nativi sembrano, invece, trasferirsi nei quartieri residenziali di nuova costruzione nelle periferie della città. Pertanto, questi risultati mettono in risalto il grande impatto che può avere l’implementazione su scala intraurbana degli indicatori SDG 11 nelle scelte politiche che riservano attenzione a problematiche di coesione sociale ed inclusione.The work aims to implement methods and tools based on Earth Observation (EO) data in support of Sustainable Development Goal (SDG) 11 of the United Nations (UN) 2030 Agenda: “Make cities and human settlements inclusive, safe, resilient and sustainable.” EO data have been recently recognized as a fundamental source of information for SDG indicators estimation. The spatial distribution of population and settlement layers, derived by EO-based surveys and methodologies, are specifically considered essential variables requested for quantifying SDG 11 indicators. However, the complexity of EO data handling and processing makes difficult the integration and usage of such data in SDGs monitoring strategies adopted from local policy makers. Furthermore, Local and Regional Authorities (LRAs), who daily facing urban growth pressures that affect the big cities, require indicators at the intra-urban scale to design adequate policies to foster the achievement of SDG 11, whereas the scientific community provides only national, regional and city scale indicators. To fill such gaps, this work proposes an improved vector-based dasymetric method (available in different versions and implementations) with the aim to provide both updated and more reliable population density maps at high spatial resolution 100 x 100 m. Concerning the settlement maps, the study proposed two different automatic classification procedures, data-driven pixel-based or, alternatively, knowledge-driven object-based. The satellite data selected as input are multi-seasonal and cloud free Sentinel-2 images, freely downloadable from the European Space Agency (ESA) Copernicus Open Access Hub. Grid population map and settlement layer (only buildings) were used as input to implement SDG 11.3.1 — “Ratio of land consumption rate to population growth rate” indicator, i.e., Land Use Efficiency (LUE) indicator. By integrating the essential variables with other domain-specific information, e.g., cadastral data, street network, air particle pollutants and natural hazard maps, additional SDG 11 indicators/sub-indicators (e.g., SDG 11.1.1, 11.2.1 and 11.6.2) can be computed at the local level. When observed over time and per unit area, the obtained indicators can provide trends useful for the progress monitoring of the UN 2030 Agenda. A set of automatic tools, devoted at the automatic computation of inputs of SDGs 11 indicators, were developed to make procedures reproducible for various cities. A Quantum GIS (QGIS) plugin and a cloud-based platform were used for sharing and facilitating the invocation of scientific workflows for all potential stakeholders without extensive expertise on the EO domain. In the Bari study area, all the indicators listed above — as well as their changes (2011–2020), when data are available for different epochs — were quantified for both the total population and the regular migrant population components, with distinctions drawn between nationalities of origin. The evaluation of the population growth rate and indicators evidenced, in Bari, that native and regular migrant components are settling according to different logics. The proximity to central areas where schools, hospitals and other services, as well as easier access to public transportation (SDG 11.2.1 indicator), appears to favour the growth of migrant communities. Native residents, instead, appear to have moved to the newly built residential areas of the suburbs. Thus, these findings stress the great impact of the proposed intra-urban scale implementation of indicators SDGs 11 in designing evidence-based policies, which reserve attention to social cohesion and inclusion issues.
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Henriques, Guida Maria Mendes. "Traçado assistido das fronteiras marítimas no quadro da Convenção das Nações Unidas sobre o direito do mar." Master's thesis, 2021. http://hdl.handle.net/10362/112900.
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Dissertation presented as the partial requirement for obtaining a Master's degree in Geographic Information Systems and ScienceA Convenção das Nações Unidas sobre o Direito do Mar (CNUDM) estabelece os domínios de jurisdição e de soberania dos Estados costeiros. Com o crescente interesse nos recursos marinhos torna-se mais evidente a necessidade de regular o espaço marítimo global, sendo para tal necessário garantir uma correta definição de zonas marítimas. Esta evidência determinou o âmbito deste trabalho estruturado em duas componentes. Uma teórica aplicada à delimitação de zonas marítimas onde foram analisados alguns dos métodos utilizados nesse processo. Outra prática, mais desenvolvida, com especial ênfase nos métodos aplicados à delimitação de zonas marítimas bilaterais em áreas de sobreposição, aplicados a Estados adjacentes e a Estados oposto, que culminou no desenvolvimento de uma ferramenta, um plugin para o QGIS desenvolvido em Python, composta por três scripts de forma a automatizar o processo de delimitação. No primeiro script foi implementado o método da equidistância, por ser o método base e mais consensual da delimitação de zonas marítimas, no segundo e terceiro scripts foi implementado o método da equidade, permitindo ajustar a delimitação em áreas específicas. Os scripts desenvolvidos são complementares, permitindo gerar vários cenários baseados em critérios técnicos que justifiquem as opções tomadas. A ferramenta desenvolvida foi aplicada ao estudo de caso de Portugal, país que partilha limites marítimos com Espanha e Marrocos. Foram identificadas três áreas de análise e gerados cenários permitindo assim demostrar a sua potencialidade, nomeadamente como ferramenta de suporte nas negociações político-diplomáticas entre os Estados, no que respeita à delimitação de fronteiras.
The United Nations Convention on the Law of the Sea (UNCLOS) establishes the maritime domains of jurisdiction and sovereignty of coastal States. Due to the growing interest in marine resources, the need to regulate the global maritime space has become a major requirement, being necessary to guarantee its precise delineation of the correspondent maritime zones. This evidence determined the scope of this work, which has a theoretical component and a practical component. The theoretical component regards to the description of the maritime zones, including some of the analysis methods used for delimitation in maritime zones, and the practical component focuses on the methods for delimitation of bilateral maritime boundaries over existent overlapping areas. The final product of this research regards to the development of a tool, a plugin for QGIS developed in Python, composed of three main scripts to automate the delineation process. The first script Implements the equidistance method for being the base method and most consensual approach for delineation of maritime boundaries. The second and third scripts implement the equity method. This method allows to adjust the delineation under certain specific circumstances. These latter developed scripts are complementary, allowing to generate several scenarios based on technical criteria that justify the considered options. The developed tool was applied to the case study of Portugal, which shares maritime limits with Spain and Morocco. It was identified three main areas of analysis, and it was generated several scenarios in these areas. This benchmark test demonstrates the potential of the developed tool, especially as a supportive instrument in the politicaldiplomatic negotiations between States concerning the delimitation of their maritime borders.
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Assunção, Jorge Miguel Soares de Campos. "Terrain classification using machine learning algorithms in a multi-temporal approach A QGIS plug-in implementation." Master's thesis, 2021. http://hdl.handle.net/10362/129178.
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Land cover and land use (LCLU) maps are essential for the successful administration
of a nation’s topography, however, conventional on-site data gathering methods are costly
and time-consuming. By contrast, remote sensing data can be used to generate up-to-date
maps regularly with the help of machine learning algorithms, in turn, allowing for the
assessment of a region’s dynamics throughout time.
The present dissertation will focus on the implementation of an automated land
use and land cover classifier based on remote sensing imagery provided by the mod ern sentinel-2 satellite constellation. The project, with Portugal at its focus, will expand
on previous approaches by utilizing temporal data as an input variable in order to harvest
the contextual information contained in the vegetation cycles.
The pursued solution investigated the implementation of a 9-class classifier plug-in
for an industry standard, open-source geographic information system. In the course of
the testing procedure, various processing techniques and machine learning algorithms
were evaluated in a multi-temporal approach. Resulting in a final overall accuracy of
65,9% across the targeted classes.Mapas de uso e ocupação do solo são cruciais para o entendimento e administração da topografia de uma nação, no entanto, os métodos convencionais de aquisição local de dados são caros e demorados. Contrariamente, dados provenientes de métodos de senso riamento remoto podem ser utilizados para gerar regularmente mapas atualizados com a ajuda de algoritmos de aprendizagem automática. Permitindo, por sua vez, a avaliação da dinâmica de uma região ao longo do tempo. Utilizando como base imagens de sensoriamento remoto fornecidas pela recente cons telação de satélites Sentinel-2, a presente dissertação concentra-se na implementação de um classificador de mapas de uso e ocupação do solo automatizado. O projeto, com foco em Portugal, irá procurar expandir abordagens anteriores através do aproveitamento de informação contextual contida nos ciclos vegetativos pela utilização de dados temporais adicionais. A solução adotada investigou a produção e implementação de um classificador geral de 9 classes num plug-in de um sistema de informação geográfico de código aberto. Durante o processo de teste, diversas técnicas de processamento e múltiplos algoritmos de aprendizagem automática foram avaliados numa abordagem multi-temporal, culminando num resultado final de precisão geral de 65,9% nas classes avaliadas.
Book chapters on the topic "Plugin QGIS"
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Ladet, Sylvie, David Sheeren, Pierre-Alexis Herrault, and Mathieu Fauvel. "Assessing the Influence of Landscape on Biodiversity Using the QGIS Plugin LecoS." In QGIS and Applications in Territorial Planning, 239–64. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457121.ch7.
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Leroux, Louise, Luca Congedo, Beatriz Bellón, Raffaele Gaetano, and Agnès Bégué. "Land Cover Mapping Using Sentinel-2 Images and the Semi-Automatic Classification Plugin: A Northern Burkina Faso Case Study." In QGIS and Applications in Agriculture and Forest, 119–51. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457107.ch4.
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Herbreteau, Vincent, Christophe Révillion, and Etienne Trimaille. "GeoHealth and QuickOSM, Two QGIS Plugins for Health Applications." In QGIS and Generic Tools, 257–86. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch7.
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M. Mugaviri, Blessing, Gilbert H. Moyo, Ezra Pedzisai, and Cuthbert Maravanyika. "Spatio-Temporal Distribution of the Black Rhino (Diceros bicornis L.) in the Midlands Black Rhino Conservancy, Zimbabwe." In Environmental Sciences. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106715.
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Geographic Information System (GIS) and Remote Sensing (RS) technologies have many attributes that are beneficial in detecting, mapping, and, monitoring change in Land use/Land cover (LULC). This study used the technology with the aim to evaluate the Spatio -temporal impacts of Land use/Land cover Changes (LULCC) on Black Rhino distribution in Midlands Black Rhino Conservancy (MBRC), Zimbabwe. The study used time series satellite data. Landsat images were downloaded for the month of May at five-year intervals from 2000 to 2020. LULC and Normalized Differences Vegetation Index (NDVI) maps obtained were used in change detection. The images were classified using QGIS software on the maximum likelihood classifier algorithm. Presents and absence data for Black Rhino was used for distribution mapping. Quantum Geographic Information System (QGIS) and, R studio software were used for analysis. Results indicated that, a big percentage cover change was the bare land which increased by over 160%. Woodland decreased by about 46% within the same space of time. LULCC showed a significant positive relationship with black rhino distribution (p = 0.0381). MOLUSCE plugin was used for Prediction of LULCC for the year 2030, results indicated the highest increase in bare land 16.59%.
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Barik, Rabindra K., Rakesh Kumar Lenka, Harishchandra Dubey, and Kunal Mankodiya. "TCloud." In Geospatial Intelligence, 935–58. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8054-6.ch040.
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This chapter proposes and develops a cloud-computing-based SDI model named as TCloud for sharing, analysis, and processing of spatial data particularly in the Temple City of India, Bhubaneswar. The main purpose of TCloud is to integrate all the spatial information such as tourism sites which include various temples, mosques, churches, monuments, lakes, mountains, rivers, forests, etc. TCloud can help the decision maker or planner or common users to get enough information for their further research and studies. It has used open source GIS quantum GIS for the development of spatial database whereas QGIS plugin has been linked with quantum GIS for invoking cloud computing environment. It has also discussed the various spatial overlay analysis in TCloud environment.
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Barik, Rabindra K., Rakesh Kumar Lenka, Harishchandra Dubey, and Kunal Mankodiya. "TCloud." In GIS Applications in the Tourism and Hospitality Industry, 116–44. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5088-4.ch006.
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This chapter proposes and develops a cloud-computing-based SDI model named as TCloud for sharing, analysis, and processing of spatial data particularly in the Temple City of India, Bhubaneswar. The main purpose of TCloud is to integrate all the spatial information such as tourism sites which include various temples, mosques, churches, monuments, lakes, mountains, rivers, forests, etc. TCloud can help the decision maker or planner or common users to get enough information for their further research and studies. It has used open source GIS quantum GIS for the development of spatial database whereas QGIS plugin has been linked with quantum GIS for invoking cloud computing environment. It has also discussed the various spatial overlay analysis in TCloud environment.
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Barik, Rabindra K. "CloudGanga." In Geospatial Intelligence, 278–97. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-8054-6.ch013.
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The present research paper proposes and develops a Cloud computing based Spatial Data Infrastructure (SDI) Model named as CloudGanga for sharing, analysis and processing of geospatial data particularly in River Ganga Basin management in India. The main purpose of the CloudGanga is to integrate all the geospatial information such as dam location, well location, irrigation project, hydro power project, canal network and central Water Commission gauge stations locations related to River Ganga. CloudGanga can help the decision maker/ planner or common users to get enough information for their further research and studies. The open source software (Quantum GIS) has been used for the development of geospatial database. QGIS Plugin has been linked with Quantum GIS for invoking cloud computing environment. It has also discussed about the various overlay analysis in CloudGanga environment. In the present research, machine learning approaches are also used in a R tool for well locations which are associated with the basin of River Ganga.
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Suárez-Meaney, Tonatiuh, Héctor Daniel Reséndiz López, Jair Arriaga Carbajal, and Luis Chías Becerril. "La medición de la dimensión fractal en las ciudades, una aproximación para conocer su eficiencia en movilidad." In La interdisciplina en el estudio de la forma urbana, 59–75. Universidad Autónoma Metropolitana. Unidad Azcapotzalco. División de Ciencias y Artes para el Diseño., 2022. http://dx.doi.org/10.24275/uama.9205.9210.
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The description of the shape of cities requires the analysis of complex geometries in two ways, 1) the shape of city contour, and 2) the inner shape of street network. Quantify contour characteristics it is important because its intrinsic relation with urban construction process, which is related to urban mobility. Fractal geometry can be applied for this purpose: in this paper the fractal dimension of Mexican cities with more than 200 thousand inhabitants has been calculated and then the relationship of this result with the mobility variables of the Mexican Institute of Competition (IMCO) has been analyzed. The connection has been high and negative between the fractal dimension of the urban contour and the variables related to high mobility, so it can be deduced that the complexity of the city contours is related to the difficulty for the people to move, therefore is relevant to measure this in more specific ways. Also, for application purposes and for the investigation of the fractal dimension has been developed a plugin for the open software QGIS.
Conference papers on the topic "Plugin QGIS"
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Saxena, Vivek, Priyanka Mundra, and Divyani Jigyasu. "Efficient Viewshed Analysis as QGIS Plugin." In 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362730.
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Anamelechi, Falasy, and Richard Cooke. "LiDARThAn: A One Click QGIS Plugin for LiDAR Thinning." In 2021 ASABE Annual International Virtual Meeting, July 12-16, 2021. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2021. http://dx.doi.org/10.13031/aim.202100069.
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Kiran Auradkar, Prafullata, and Tejeswini R. "A QGIS Plugin to monitor proximities in surveillance videos." In 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). IEEE, 2022. http://dx.doi.org/10.1109/icicict54557.2022.9917610.
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Rahmahalim, Muhammad, Fatwa Ramdani, and Alfi Nur Rusydi. "Design and development of land surface temperature calculation plugin of QGIS." In SIET '20: 5th International Conference on Sustainable Information Engineering and Technology. New York, NY, USA: ACM, 2020. http://dx.doi.org/10.1145/3427423.3427432.
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Domoto, Eri, Koji Okuhara, and Antonio Oliveira Nzinga Rene. "Development of QGIS Plugin for Seamless Integration of Ideation Support and Geoprocessing." In 2021 10th International Congress on Advanced Applied Informatics (IIAI-AAI). IEEE, 2021. http://dx.doi.org/10.1109/iiai-aai53430.2021.00103.
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Lyngdoh, Rosly Boy, Anand S. Sahadevan, Touseef Ahmad, Pradyuman Singh Rathore, Manoj Mishra, Praveen Kumar Gupta, and Arundhati Misra. "AVHYAS: A Free and Open Source QGIS Plugin for Advanced Hyperspectral Image Analysis." In 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI). IEEE, 2021. http://dx.doi.org/10.1109/icetci51973.2021.9574057.
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Nashrulloh, Maulana Malik, Nia Kurniawan, and Brian Rahardi. "PHYLOGEOrec: A QGIS plugin for spatial phylogeographic reconstruction from phylogenetic tree and geographical information data." In 8TH INTERNATIONAL CONFERENCE ON GLOBAL RESOURCE CONSERVATION (ICGRC 2017): Green Campus Movement for Global Conservation. Author(s), 2017. http://dx.doi.org/10.1063/1.5012728.
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Martín, Belén, Ramón Molinero-Parejo, Nikolai Shurupov, Amor Ariza-Álvarez, Emilio Ortega, Miguel Navarro-Ligero, María Eugenia López-Lambas, Francisco Aguilera-Benavente, and Julio Alberto Soria-Lara. "IMPROVING SKILLS OF PROCESSING AND MAPPING CADASTRAL INFORMATION BY AN INNOVATIVE QGIS PLUGIN WITH TEACHING PURPOSES." In 14th International Conference on Education and New Learning Technologies. IATED, 2022. http://dx.doi.org/10.21125/edulearn.2022.2271.
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Baisantry, Munmun, and Vivek Saxena. "Removal of ladder effects by smoothening the integer format elevation layer via development of a QGIS plugin." In 2016 International Conference on Computing, Communication and Automation (ICCCA). IEEE, 2016. http://dx.doi.org/10.1109/ccaa.2016.7813898.
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Gonzalez, A., A. Basaglia, E. Spacone, and G. Brando. "A QGIS Plugin for the Seismic Vulnerability Assessment of Urban Centers: Application to the City of Popoli in Abruzzo (Italy)." In 12th International Conference on Structural Analysis of Historical Constructions. CIMNE, 2021. http://dx.doi.org/10.23967/sahc.2021.014.
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