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Academic literature on the topic 'QGIS'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 September 2023

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Journal articles on the topic "QGIS"

IDRIZI, Bashkim, Lyubka PASHOVA, and Pal NIKOLLI. "Lifelong training program on QGIS tools for earth observation sciences in south-east Europe." European Journal of Geography 12, no. 3 (November 11, 2021): 88–102. http://dx.doi.org/10.48088/ejg.b.idr.12.3.88.102.

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Earth Observation (EO) data are an indispensable source of useful geospatial information, which can be efficiently combined with other data within the latest released open-source QGIS software. This paper aims: i) to present a general overview of the QGIS EO plugins; ii) to promote the Lifelong Learning (LLL) courses for open-source QGIS software tools provided by the Geo-SEE Institute from Skopje; iii) to appreciate the advantages of open-source QGIS for developing and improving EO applications. The training objectives are to enhance the research, development tools and technologies of QGIS and stimulate the obtaining and disseminating knowledge to utilize the open-source GIS software. Furthermore, there is a growing need to increase the number of well-educated professionals on issues related to the EO sciences in South-East Europe (SEE), who are better prepared for the labor market in today's digital revolution by using QGIS tools and plugins combined with other related GIS software platforms provided by the OSGeo family.

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Podolskaia, E. S. "REVIEW OF OPEN SOURCE QGIS FORESTRY PLUGINS." Forest Science Issues 5, no. 1 (March 29, 2022): 1–11. http://dx.doi.org/10.31509/2658-607x-202251-98.

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To date, the forestry industry has obtained certain experience in implementing Open Source software. The article describes Open Source QGIS-plugins for the tasks of forest fires and forest resources monitoring and management in research and applications. The functionality analysis performed aimed to simplify the selection of tools for a forest geoinformation project in desktop and web versions. The article presents a brief description of presently downloadable QGIS (version 3.18.1) forestry plugins. The analysis of external QGIS-plugins for working with forest resources and fires has shown the heterogeneity of research. This prevents from identifying trends so far. An option for future research subjects may be development of plugins with available data as cartographic services for territories of different spatial coverage, taking into account that archived data and their availability is a key asset in the forestry. Subject-related forest scope in the present-day repository of QGIS-plugins tends to be relatively limited. Transport and environmental applications implemented in the form of GIS tools are more numerous and can solve individual tasks in the orest project. A review of plugins functionality, compatibility to the core QGIS and their performance should be performed on a regular basis, following new QGIS versions.

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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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Lakshita, N. M., and S. Rahayu. "Urban Dynamics and Carbon Stock Estimation in Salatiga City, Indonesia." IOP Conference Series: Earth and Environmental Science 887, no. 1 (October 1, 2021): 012015. http://dx.doi.org/10.1088/1755-1315/887/1/012015.

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Abstract Previous research has not discussed about the prediction method of carbon stock changes using open-source software. This research aims to fill the gap by using QGIS as open-source software in. The method used is Support Vector Machine and Cellular Automata, which is only found in QGIS software, including QGIS 3.8.0 and QGIS 2.18.24 with Pip-Python 3. The results show that SVM and Cellular Automata algorithms in QGIS software successfully predicted land cover in the context of carbon stock change. This study shows the prediction of carbon stock changes due to land cover conversion in Salatiga City for the period 2019-2029 decreased by 9,202.77 tons C, where carbon emission was 10,313.47 tons C and carbon sequestration was 1,110.70 tons C. The prediction of carbon stock changes in Salatiga City is needed to reference local governments to formulate mitigation and adaptation efforts to global climate change.

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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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Vikhot, Yuriy, Solomiia Kril, and Ihor Bubniak. "DIGITAL GEOLOGICAL MAPPING AND GEODATA ANALYSIS USING TOOLS AND PLUGINS OF QGIS." SCIENTIFIC PAPERS OF DONNTU Series: “The Mining and Geology”, no. 1(27)-2(28)2022 (2022): 122–35. http://dx.doi.org/10.31474/2073-9575-2022-1(27)-2(28)-122-135.

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Purpose. The article aims is to demonstrate the possibilities, methods and advantages of using Quantum GIS (QGIS) plugins and mobile applications for digital geological mapping, input and primary analysis of field geodata in Earth Sciences – Structural Geology, Engineering Geology, Hydrogeology, Ecology, Geophysics, etc. Methodology. The most important tools and plugins of QGIS, an open source GIS program, that works on the most widespread platforms – Windows, MacOS X, Linux and applications on Android, iOS for digital mapping, structural geodata analysis, and visualization are used. Results. The most important tools and plugins of QGIS (Georeferencer GDAL, GarminCustomMap, Profile Tool, VoGIS-ProfilTool, qProf, qgSurf, Stereonet, qgis2web, and QField mobile application) are analyzed. Their using for digital geological mapping, input and analysis of structural and other geodata, construction of 2D topographic profiles, visualization of geodata in web browsers are briefly described. Scientific novelty. Tools and plugins of QGIS, which are necessary for certain purposes for working with various types of data on geological maps, their analysis, and construction of geological and geophysical profiles are defined. QGIS software applications allow to add new plugins, create your own notations for digital mapping that can be used to solve specific geological tasks and analyze geospatial and geological data, or add ready-made specialized geological notations according to geological standards. Practical significance. Complex using of basic, additional external plugins of QGIS and specialized geological markings contributes to effective field digital mapping, modern visualization of various types of geological maps with spatial reference, creation of new digital electronic and complex demonstration maps for printing and visualization in web browsers, construction topographic and geological 2D profiles, GIS analysis of structural geodata, slope analysis, etc. Data obtained in QGIS can be imported into such specialized programs as Petrel Exploration & Production Software Platform (Shlumberger), MOVE Software (Midland Valley), etc. Keywords: Quantum GIS or QGIS, QGIS tools and plugins, digital geological mapping, QField, GIS analysis of structural geodata, slope analysis.

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Kapur, Đorđe. "REŠAVANJE PROBLEMA DOSTAVE POMOĆU QGIS-a." Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 36, no. 01 (December 30, 2020): 171–74. http://dx.doi.org/10.24867/11ds03kapur.

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U radu su opisani problemi s kojima se suočavaju veliki gradovi, sa posebnim osvrtom na probleme dostave. Nakon toga su prikazana neka od mogućih rešenja datih problema sa posebnim akcentom na primenu QGIS-a u određivanju lokacije paketskih ormara na području grada Novog Sada

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S, Satheeshkumar, Birundha A, Sivabharathi T, Subha R, and Swetha J. "Interpretation of Road Network using QGIS." Irish Interdisciplinary Journal of Science & Research 06, no. 02 (2022): 101–9. http://dx.doi.org/10.46759/iijsr.2022.6214.

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Road networks are the key element for economic growth in every country. It is essential for project a strategic and sustained expansion and an adequate maintenance of these networks to guarantee quality connections between the different parts of a geographical territory. Road enables the supply of goods and services around the world and it connect the people to workplaces, schools, hospitals and some other places in the geographical area. Road infrastructure improves the effectiveness and efficiency of all the countries and increases the standard living of people, making their lives easier. In this paper we proposed to design the road network map for Erode district using QGIS (Quantum Geographic Information System). We identified and classified various type of road network for that particular area. In this map we include what kind of road network is available and also explained the purpose of the each type of road network.

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Jakimow, Benjamin, Andreas Janz, Fabian Thiel, Akpona Okujeni, Patrick Hostert, and Sebastian van der Linden. "EnMAP-Box: Imaging spectroscopy in QGIS." SoftwareX 23 (July 2023): 101507. http://dx.doi.org/10.1016/j.softx.2023.101507.

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Dissertations / Theses on the topic "QGIS"

Österman, Anna. "Map visualization in ArcGIS, QGIS and MapInfo." Thesis, KTH, Geodesi och geoinformatik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-147252.

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Mapproduction, also called cartography, is one of the processes of visualrepresentation of reality. This practice has for a long time been of hugeinterest to humanity and was initially a handcraft[2]. Today most maps areproduced with the help of computers and are often the last step of a GISanalysis – the way the result is presented. This makes knowledge of mapproduction important and relevant when working with different GIS analysis. Thereare several GIS programs on the market, both free and commercial software.ArcGIS is one of the most common programs used by companies when producing mapsand is often used in universities for teaching. However, there are otherprograms on the market. Two examples of these are QGIS and MapInfo. QGIS isfree open source software and MapInfo is licensed software like ArcGIS. Theobjectives of this thesis are to explore and learn the steps of map productionin these programs and to look at how interchangeable the programs are in mapediting. This is examined by trying to create the same map and map series inthe three programs. From the process and result an evaluation schema is createdto present the functionality as well as a discussion to raise the pros and consof the programs. The result of creating a simple map shows that it is possibleto create the same map in all three programs, except from some minordifferences. When looking at the evaluations schema it is clear that theprograms have almost the same functionality. The biggest difference is thatboth ArcGIS and QGIS have a tool for generating an atlas while MapInfo lacksthis functionality. What the evaluation schema does not show is the differencesin how user-friendly the programs are. This is further narrated in the discussionpart of the report where the pros and cons are reported. The conclusion is thatArcGIS and QGIS are much alike when it comes to producing maps while MapInfoworks differently and are harder to get used to. The result gives a goodindication of which programs to choose and what type of functionality thatexists, though a more profound study could have been done where more types ofmaps were created for more reliable results.

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Šilháček, Ondřej. "Vizualizace katastrální mapy v ArcGIS a QGIS." Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-259283.

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The aim of this work is to create a project in ArcGIS and QGIS that is based on a visualization of a cadastral map in a format for storing vector spatial data: shapefile. Spatial features contained in the map have correctly set vector coordinates, but their style, attributes and properties are in default settings. The task was to configure all the settings to match the style of the cadastral map. The final project was meant to be used as a tool that can be applied to other cadastral maps in default settings in order to change their style into the style of the cadastral maps. Created style was saved as files that contain information about the properties that were configured in shapefiles, but they do not contain spatial data, only the information about their location. Shapefiles were styled according to the cadastral regulation no. 357/2013 Coll. Created project expands possibilities of how cadastral maps can be browsed and it will be used for potential customers of the Czech Office for Surveying, Mapping and Cadastre in Prague who will apply for the cadastral map in shapefiles. Theoretical part contains characterization of ArcGIS, QGIS, possibillities of how cadastral maps can be currently obtained and browsed. Also a brief history of cadastral maps in the territory of the Czech state. As there are no guidelines, which could be used for the cadastral map visualization, the methodology does not contain informations about the process of creating the project, but only instructions that determine how the final project should look like. Results contain detailed informations about the process of creating the project with all partial steps including visualization of shapefiles, saving the project and information how to run the project. At the end of the theoretical part is an evaluation of the user friendliness, pros and cons and the overall view of the work with used programs in the meaning of shapefile visualization.

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Englund, Erik. "Defining New Boundaries in QGIS Based on Existing Definitions." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-303894.

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Handling geographical data is a common necessity at many organisations today. At The Church of Sweden, the parishes needs to be divided into election districts prior to an election in 2017. In order to streamline this process, there has been a request for a system tool which can load and reuse previously stored election district divisions. In addition, a tool which can be used to draw boundaries along elements of a background map has been wished for. A tool like this would be beneficial in cases where a neighborhood might have grown since the last election, and the Church would not like to split the neighborhood in two. A plugin to the open-source program Quantum Geographical Information System was developed which guides a user through the process of dividing a parish into election districts based on an earlier definition. Furthermore, different image-processing algorithms were examined in order to find a suitable solution to implementing a new drawing tool which could follow elements in a map. The developed plugin will probably be helpful in further elections beyond 2017 as well, however a tool to draw boundaries along map features is yet to be implemented.

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Pihl, Petra. "Dokumentationsmodell för fibernätverk : Utveckling av ett insticksprogram i QGIS." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-74449.

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Samhällets ökande beroende av bredbandsstruktur och framför allt av digitala tjänster ställer krav på stabilitet och driftsäkerhet. Det innebär att infrastrukturen måste vara robust nog att motstå påfrestningar och ha så god kvalitet att den fungerar och är tillgänglig även vid störningar. Det har hittills inte funnits någon etablerad standard för hur ett nät bör förläggas vilket har lett till en stor variation kring hur nät anläggs och vilken kvalitet de håller. Post- och telestyrelsen (PTS) har på regeringens uppdrag tagit fram föreskrifter som ska leda till att bredbandsnätet byggs upp driftsäkert och robust. Föreskrifter har tagits fram tillsammans med flera av branschens aktörer och beskriver hur en robust fiberanläggning ska anläggas och drivas. Anvisningarna går under samlingsnamnet Robust fiber. I detta examensarbete är det kraven på dokumentation av fibernät som studeras. På grund av Sveriges regerings bredbandsstrategi så har utbyggande av fibernätverket gått i sådan takt att dokumentation släpar efter. Geografiska informationssystem (GIS) är lämpliga att utnyttja för dokumentation och analys av robustheten i fibernät. Syftet med examensarbetet är utveckla en metod till opensource programvaran QGIS för att dokumentera fibernätverk och information om dess beståndsdelar. Metoden för arbetet var att designa en relationsdatabas med stöd för geografiska objekt och implementera detta i QGIS för att modellera upp fibernätverkets struktur och generera en översikt. Databasen sköter information om objekt och utsökningar kan utföras med SQL-frågeuttryckt och kopplas ihop med nätöversikt i QGIS. Resultatet visar att det är möjligt att till stor del uppfylla kraven för dokumentation. Det problem som dock inte lyckades lösas var dokumentationskravet att kunna visa schematiska ritningar för kanalisation.

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Larsson, Karl. "Digitization in ArcGIS, QGIS and MapInfo. A systematic survey and recommendation of program." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-150114.

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Idag är det mycket vanligt att använda och förlita sig på GIS-programvaror inom byggsektorn. Det finns flera alternativ att välja mellan som QGIS, ArcGIS, MapInfo, GRASS GIS, Surfer och Maptitude men om man inte redan är välbekant med området eller programmen är det svårt att veta hur dom skiljer sig åt och vad man kan förvänta sig. Därmed är syftet med arbetet att utföra en systematisk undersökning av GIS-programvaror utifrån en generell digitaliseringsarbetsgång för att kunna identifiera fördelar och nackdelar samt lämna en slutgiltig rekommendation. För att besvara syftet har följande frågeställningar tagits fram: Vilket program är lämpligast för georeferering? Vilket program är lämpligast för att rita kartor digitalt, dvs. att skapa vektorskikt och rita av information från grundkartan? Vilket program är lämpligast för att skapa en karta och diverse tillhörande detaljer? Vilket program rekommenderas utav de tre möjliga med tanke på bedömningsmallen, tidsinsats för arbetet och kostnad? För att besvara frågeställningarna har tre programvaror valts ut (QGIS, ArcGIS och MapInfo) som jämförs utifrån en digitaliseringsarbetsgång och utvärderas efter samma utvärderingsmall som tagits fram efter hur ett idealt GIS-program tänks prestera inom arbetsgången. För att hjälpa slutgiltig rekommendationen har även tidsinsatsen för hela arbetsgången mätts och kostnaden för dom olika programmen har tagits fram. Inom georeferering fick QGIS och ArcGIS mest poäng men eftersom QGIS har flera alternativ inom transformation- och omsamplingsmetoder bedöms det vara ett bättre alternativ än ArcGIS. Inom rita kartan digitalt presterade QGIS och ArcGIS bäst enligt utvärderingsmallen men eftersom QGIS har bättre funktioner för att sätta ID-nummer och attributdata anses det vara bättre alternativ. Inom att skapa en karta presterade ArcGIS och MapInfo bäst men eftersom ArcGIS har bättre möjligheter för att anpassa elementen i kartan bedöms det som ett bättre alternativ än MapInfo. Den slutgiltiga rekommendationen gick till QGIS eftersom det prestare bäst genom hela utvärderingsmallen, hade kortast tidsinsats för att genomföra arbetsgången och har lägst kostnad.

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Lindén, Philip. "Improving accessibility to the bus service : Building an accessibility measurement tool in QGIS." Thesis, Umeå universitet, Institutionen för geografi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185145.

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Satisfactory public transportation (PT) should enable people to reach attractive destinations and desired activities fast, comfortably, safely, and affordably. When PT fails to do so it will have negative effects on the overall accessibility in a society. Evaluating a PT system essentially means measuring to what extent the demand from the users is met, and for such an analysis understanding the concept of accessibility is paramount. Whether an individual will experience a high or a low level of accessibility will likely depend on their personal capabilities, as well as on the surrounding environment. Barriers obstructing an individual from using PT could for example be of physical of phycological nature or come in the shape of public space management disproportionally favoring certain groups of society. Low accessibility can thus be linked to social exclusion, since when a person cannot reach important destinations, their chances to participate in society will be subdued. To measure the accessibility of a PT system, and how a PT system affects the overall accessibility of a destination, it is common practice to use indicators that can represent different categories of social exclusion. This approach was the basis for constructing the performance measurement tool called Bus Stop Ranking Algorithm (BSRA) which was created in the QGIS application Graphical Modeler. BSRA calculates the usefulness of bus stops by counting the number of vulnerable groups, the number of workplaces, and the total population within comfortable walking distance from bus stops, as well as comparing travel times by car and bicycle from residential areas to important locations. The tool was ordered by a private PT company which will use it to make decisions regarding e.g., creating new bus stops, or for relocating, removing, or redesigning existing bus stops or bus routes. The Swedish municipality Lidingö was used as the study area to demonstrate how to use BSRA and how to interpret its output. Using equal weights for all indicators, it was discovered that 9 bus stops in the southern part of Lidingö could be regarded as particularly useful compared to the other 207 bus stops in the municipality. Variables such as the space-temporal component, i.e., changes during the day were not used. Socio economic factors such as segregation were also not highlighted, since all indicators had the same effect on the total scores. Adjusting the weights for some indicators could expose underlying dynamics affecting the total scores for the bus stops and help the PT company make design changes where they will be needed the most.

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Camargo, Marcel Pinton de. "Aerial machine vision, geographical information system and hue for pattern classification in agriculture." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/11/11152/tde-17012019-180101/.

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In this research we aim to achieve cybernetic cohesion information flow in precision agriculture, integrating machine learning methods, computer vision, geographical information system and UAV-photogrammetry in an irrigated area with slaughterhouse wastewater, under five treatments (W100 - irrigation with superficial water and 100% of nitrogen mineral fertilization, E0, E33, E66 and E100 - irrigation with treated effluent from slaughterhouse and addition of 0, 33, 66 and 100% of nitrogen mineral fertilization, respectively) and four replications on grassland (Cynodon dactylon (L.) Pers.). Several images (between one hundred and two hundred) with red, green, blue (RGB) color model were captured using a quadcopter flying at 20 meter altitude and obtaining spatial resolution of 1 centimeter on a surface of approximately 0.5 ha. The images were orthorectified together with nine ground control points done by differential global positioning system (GPS), both processed in the Agisoft PhotoScan software. Thirteen photogrammetric projects were done over time with 30-day revisit, the root mean squared error (RMSE) was used as accuracy measurement, and reached values lower than 5 centimeters for x, y and z axis. The orthoimage obtained with unmanned aerial vehicle (UAV) photogrammetry was changed from RGB to hue, saturation, value (HSV) color model, and the hue color space was chosen due to independence of illumination, beyond it has a good description of exposure of soil and vegetation, but it is dependent of light source temperature, so difficult to estabilish a static threshold, so we selected an unsupervised classification method, K-Means, to classify the unknown patterns along the area. Polygons were drawn delimiting the area represented by each portion and a supervised classification method based on entropy was used, the decision tree, to explore and find patterns that recognize each treatment. These steps are also displayed in forms of georeferenced thematic maps and were executed in the open source softwares Python, QGIS and Weka. The rules defined on the hue color space reached an accuracy of 100% on the training set, and provided a better understanding about the distribution of soil and vegetation on the parcels. This methodology shows a great potential for analysis of spectral data in precision agriculture.
Nesta pesquisa pretendemos alcançar a coesão cibernética no fluxo de informações dentro da agricultura de precisão, integrando métodos de aprendizagem de máquinas, visão computacional, sistema de informação geográfica e aerofotogrametria em uma área irrigada com efluente de matadouro, sob cinco tratamentos (W100 - irrigação com água superficial e 100 % de adubação mineral nitrogenada, E0, E33, E66 e E100 - irrigação com efluente tratado de abatedouro e adição de 0, 33, 66 e 100% de adubação mineral nitrogenada, respectivamente) e quatro repetições em pastagem (Cynodon dactylon (L.) Pers.) Várias imagens (entre cem e duzentas) com modelo de cor vermelho, verde e azul (RGB) foram capturadas por um quadricóptero voando a 20 metros de altitude, e obtendo resolução espacial de 1 centímetro em uma superfície de aproximadamente 0.5 ha. As imagens foram ortorretificadas juntamente com nove pontos de controle, realizados pelo sistema de posicionamento global diferencial (GPS), ambos processados no software Agisoft PhotoScan. Treze projetos fotogramétricos foram realizados ao longo do tempo com revisita de 30 dias, a raiz do erro quadrático médio (RMSE) foi usada como medida de acurácia e atingiu valores menores que 5 centímetros para os eixos x, y e z. A ortoimagem obtida com a fotogrametria do veículo aéreo não tripulado (UAV) foi alterada de RGB para matiz, saturação, valor (HSV) e o espaço de cor matiz foi escolhido devido a independência da iluminação, além de ter boa descrição da exposição do solo e vegetação. Entretanto este é dependente da temperatura da fonte de luz, portanto difícil de se estabelecer um limiar estático, logo selecionamos um método de classificação não supervisionado, o K-Means, para classificar os padrões desconhecidos ao longo da área. Polígonos foram traçados delimitando a área representada por cada parcela e um método supervisionado de classificação baseado na entropia foi utilizado, a árvore de decisão, para explorar e encontrar padrões que reconheçam cada tratamento. Essas etapas também são exibidas em formas de mapas temáticos georeferenciados e foram executadas nos softwares de código aberto Python, QGIS e Weka. As regras definidas no espaço de cor matiz atingiram uma acurácia de 100% no conjunto de treinamento e proporcionaram um melhor entendimento sobre a distribuição do solo e da vegetação nas parcelas. Esta metodologia mostra um grande potencial para análise de dados na agricultura de precisão.

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Höijer, Emma. "Kompatibilitet mellan olika systems format för stilsättning av geodata : En undersökning av stilformaten SLD och MBstyle." Thesis, Karlstads universitet, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-67859.

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Många aktörer i samhället har behov av geodata levererat från olika myndigheter med flera. Det är ofta nödvändigt att kombinera olika typer av geodata. Stilsättning av vektordata sker genom att tillsammans med rumsliga, geografiska data läsa in en separat stilfil som talar om hur ingående objekt ska presenteras. Fördelen med stilsatt vektordata är att det möjliggör för användaren att modifiera utseendet på ett visst objekt i kartbilden, till skillnad från när en WMS-tjänst används och användaren får ett förutbestämt utseende. Nackdelen med stilsatt vektordata är när data som levererats från olika aktörer ska kombineras. Geografiska informationssystem finns både som licensierade och som öppen källkod. Bland de stilsättningsformat som används i programvaror baserade på öppen källkod, är många format kompatibla och kan tolkas av olika system mer eller mindre korrekt. I detta examensarbete har data stilsatts i QGIS där stilfiler skapats genom användning av tre olika metoder. Stilfilerna exporterades för inläsning i GeoServer. Samtliga metoder användes för stilsättning av punkt-, linje- och polygonobjekt. Metod 1 användes för att spara stilfilen i QGIS i det OGC-standardiserade formatet SLD 1.1.0, vilket genererade det mest likartade resultatet vid visualisering. Resultatet vid stilsättning av punktobjekt visar på 73 % överensstämmelse, linjeobjekt 56 % och polygoner 42 %. Metod 2, innebar en export av stilfilen via insticksprogrammet GeoServer Explorer vilket genererade det OGC standardiserade formatet SLD 1.0.0. Resultatet visar att en mängd olika parametrar för att beskriva stilsättningen inte tolkas i GeoServer samt att storleken för objekten i regel fyrdubblades. Resultatet för punktobjekten visar 54 % överensstämmelse, linjeobjekten 44 % och polygonerna 53 %. Metod 3 utfördes genom att exportera QGIS stilsättning via insticksprogrammet Lib-mapboxgl-qgis, och därmed generera stilsättningen i MBstyle-format. Punktobjekten, som visualiserades via en PNG-fil, resulterar i en likartad överensstämmelse på 62 %. Linjeobjekten som testades var tre enkla linjer, skapade enbart för test i MBstyle, eftersom mer avancerad stilsättning inte valideras vid export. Dessa tre linjer klassades som ”Liknande", med någon defekt vilket genererade 67 % överensstämmelse. Polygonerna i MB-style visar på ett icke-likartat visuellt resultat. Samtliga polygoner visualiseras enbart med en solid fyllning (som inte alltid stämmer överens färgmässigt) och kantlinje. Polygonernas överensstämmelse är 39 %. Stickprovsmodifiering utfördes i syfte att undersöka möjligheten att skapa en stilfil som genererar ett likartat visuellt resultat med den ordinarie stilsättningen i QGIS. Modifiering gjordes enbart på de två SLD-versionerna. Metod 1 genererade en mer detaljerad översättning där fler parametrar medföljde. Metod 2 översatte stilsättning med font till en markör utan detaljerat innehåll, vilket resulterade i att en standardstilsättning applicerades.
Many actors in society need geodata delivered from, among others, governmental agencies. Often there is also the need to combine data from different sources. Style of vector data is visualized, in conjunction with geodata, using a separate style file that describes how each object will be presented. The advantage is the ability to retrospectively modify the appearance of a particular object in the map image, unlike when a WMS service is applied, and the user gets a predetermined look that cannot be changed. However, the disadvantages of styled vector data are obvious when combining geodata from different providers, who uses different systems. GIS software are available as both licensed and open source. Among the style formats used in open source software, many are compatible with each other and can be interpreted in different systems. Having said that, this does not always work seamlessly. In this thesis QGIS was used. The style file was exported to GeoServer using three different methods. In all methods included styling of point, line and polygon objects. Using method 1, the style file imported in QGIS in the OGC standard format SLD 1.1.0, this generated the most similar result for the visualization. The result for the point features shows 81 %, the line features 56 % and the polygon features 47 % similarity. Using method 2, the style file was imported in the GeoServer Explorer plugin, generated the OGC standard format SLD 1.0.0. The result shows that a variety of parameters for describing the style are not interpreted correctly and the size of the objects is consistently quadrupled. The result for the point features shows 58 % similarity, the line features 39 % and the polygon features 44 % similarity. Using method 3, the QGIS styling was exported via the Lib-mapboxgl-qgis plugin, thus generating the style in MBstyle format. The point features, which were visualized through a PNG file and results shows 62 % similarity. The line features were tested with three simple line features created only for the MBstyle test, as more advanced styling was not validated during export. The three lines were classified as similar with some kind of defect, giving 67 % similarity. Polygon features in MBstyle showed a non-similar visual result. All polygons were visualized with only a solid fill and a stroke, which did not even appear in correct color. The similarity of the polygons was measured as 39 %. However, this relatively high percentage is due to the fact that the chosen judgement criteria rewards points for simply generating a visual output. The purpose with the sampling modification was to investigate whether it was possible to create a style file that generated a similar visual result as the original style in QGIS. Modification was made only to the two SLD versions. The differences between the methods and styles in the different versions turned out to depend on how the styles were translated. Method 1 generated a more detailed translation with more parameters included, such as reference to a font. Method 2 translated a font style to a Mark without detailed content, resulting in that a default setting was applied.

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Silva, Jefferson Luiz Gonçalves. "Identificação das áreas aptas a aplicação de biofertilizantes suínos com utilização de SIG." Universidade Estadual do Oeste do Paraná, 2017. http://tede.unioeste.br/handle/tede/3299.

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Submitted by Neusa Fagundes (neusa.fagundes@unioeste.br) on 2018-02-09T16:58:35Z No. of bitstreams: 2 Jefferson_Silva2017.pdf: 21962500 bytes, checksum: b5f3e1638dea54ab903a20e7e41671d6 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)
Made available in DSpace on 2018-02-09T16:58:35Z (GMT). No. of bitstreams: 2 Jefferson_Silva2017.pdf: 21962500 bytes, checksum: b5f3e1638dea54ab903a20e7e41671d6 (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5) Previous issue date: 2017-07-10
Brazil is the fourth largest swine producer and exporter in world, with swine farming being very representative in the national scenario. This production, however, implies generation of waste and this needs to be mitigated. One of the alternatives to reduce the impact caused by pig waste is the application of anaerobic biodigestion treatment, obtaining biogas and digestate as by-products. Digestate can be used as biofertilizer, generating a new product. In this context, this work proposes to define a geographic database from different sources about the national production of swine and to estimate, supported by calculation methodology defined in activities of the BiogasFert Network, the respective production of waste and biogas. These results were provided in an web system using GeoServer map server. In addition, a methodology was defined in this work to identify areas of permanent preservation in top of hills, based on the Brazilian new forest code published since 2012, and in classes of declivity unfit for fertilizer inputs (regions with slopes greater than 45%). As result, a total of 60,879,431 km² (0,72%) of areas considered inapt for the application of fertilizers in the national territory were identified. Another objective of this work was to highlight the use of free GIS software and its processing power, since the metrics applied here were elaborated using exclusively open source software.
O Brasil é o quarto maior produtor e exportador de carne suína mundial, tendo a suinocultura uma grande representatividade no cenário agropecuário nacional. Essa produção, contudo, implica na geração de resíduos, que necessitam ser mitigados. Uma das alternativas para reduzir o impacto causado por dejetos de suínos é a aplicação de um tratamento de biodigestão anaeróbia, obtendo-se como subproduto o biogás e o digestato, o qual pode ser utilizado como biofertilizante, tornando-se não só uma forma de tratamento como também de geração de novos produtos. Neste contexto, este trabalho propôs definir uma base de dados geográfica a partir da integração de fontes distintas acerca da produção nacional de suínos e estimar, apoiado por metodologia de cálculo definida em atividades da Rede BiogásFert, a respectiva produção de dejetos e biogás. Tais resultados foram aportados em sistema web via servidor de mapas GeoServer. Além disso, define-se neste trabalho metodologia para identificar áreas de preservação permanente em topo de morro, a partir do novo código florestal veiculado desde 2012, bem como as classes de declividade inaptas ao aporte de fertilizantes (regiões com declividade superior a 45%). Como resultado, foi identificado um total de 60.879,431 km² (0,72%) de áreas consideradas inaptas à aplicação de fertilizantes no território nacional. Um outro objetivo deste trabalho foi o de evidenciar o uso de softwares SIG livres e o seu poder de processamento, visto que as metologias aqui aplicadas foram elaboradas com uso exclusivo de softwares open source.

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Nilsson, Olov. "3D- modellering med LAS-data : Tester i ett licensierat- och i ett Open source-program." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-72665.

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Det har blivit mer populärt att skapa 3D-modeller bland kommuner och företag idag. Det går att visualisera de flesta föremål i 3D, vilket kan skapa större tydlighet och därmed ökad förståelse. Lidköpings kommun vill kunna använda sin LiDAR-data till att visualisera byggnader samt kunna kombinera flera datalager med 3D-visualiseringar för att kunna skapa användbara karttjänster. I dagsläget finns det ingen programvara som kan skapa 3D-modeller av LiDAR-data i kommunen. Lidköpings kommun är intresserade av vilka alternativ för GIS-programvaror som finns. De programvaror som valts ut för att skapa 3D-modeller i studien är ArcGIS Pro och QGIS. ArcGIS Pro är en erkänd GIS-programvara på marknaden. Den är licensierad och kostsam. QGIS däremot är en GIS-programvara som är gratis och uppbyggd på fri källkod, vilket gör det möjligt att själv skapa algoritmer som sedan kan användas i programmet. Studien är en jämförelse mellan en programvara som är kostsam och en som är gratis. Metoden som används för att jämföra de båda programvarorna består av tre steg. Steg 1 är en programvarujämförelse, där olika påståenden ställer programvarornas kapacitet mot varandra. Steg 2 är en kontroll av lägesosäkerhet där koordinaterna av 3D-modellernas byggnadshörn jämförs med koordinater inmätta med totalstation. RMSE används för att jämföra lägesosäkerheten. Steg 3 är en visualiseringsanalys som sker igenom ett frågeformulär, vilket går ut till personer som är bekanta med GIS och 3D. Frågeformuläret ställer bilder med 3D-modeller från båda programvarorna mot varandra. Resultatet av samtliga tre steg visar, enligt metoden som har utförts, att ArcGIS Pro är den bättre programvaran. I steg 1 hade ArcGIS Pro fördelar på fem av åtta påståenden jämfört med QGIS. QGIS hade dock mindre tidsåtgång än ArcGIS Pro. I steg 2 hade ArcGIS Pro RMSE för höjd värdet; 1,617, vilket var lägre än RMSE-värdet; 1,961 i QGIS. Enligt svaren från enkäten i steg 3 bedömde ca 90 % av de svarande att ArcGIS Pro var det bättre programmet i de flesta avseenden för de avsedda ändamålen. Vissa jämförelser blev inte helt jämna. QGIS hade minst tidsåtgång för att det inte blev lika mycket felkoder som behövde undersökas som i ArcGIS Pro, även om processen för skapandet av 3D-modeller gick snabbare i ArcGIS Pro. Lägesosäkerhetsjämförelsen på höjd i ArcGIS pro var närmare de inmätta punkterna, då takmodellen skapade större tydlighet. Det blev lättare att se var taket började. I QGIS fanns det ingen takmodell, vilket gjorde det svårare att få höjden exakt.
It has become more popular to create 3D models among local governments and companies today. Now it´s possible to visualize most objects in 3D, which can give an increased understanding. The local government in Lidköping wants to be able to use their LiDAR data to visualize buildings and to combine several data layers with 3D visualizations to create useful web map services. At the present, there is no software that are able create 3D models of LiDAR data at the Local government. The local government in Lidköping is interested in testing different options for modelling in 3D. Two software packages were chosen; ArcGIS Pro and QGIS. ArcGIS Pro is a GIS software that is highly acknowledged in the market. It´s licensed and can be considered expensive. QGIS is a software that is completely free to use and uses open source code, which makes it possible to create algorithms that can then be used in the program. In this view, there will be comparison between a software that is expensive and a software that is completely free. The method used to compare the two software consists of three stages. Stage 1 is a software comparison, where the software capabilities are set against each other in different scenarios. Stage 2 is an investigation of positional accuracy where the coordinates of the 3D model's building corners are compared with coordinates measured with Total Station as reference. RMSE is used to compare positional accuracy. Stage 3 is a visualization analysis that takes place through a questionnaire answered by people who are familiar with GIS and 3D. The result of all three stages, according to the method performed, shows that ArcGIS Pro is the better software. At stage 1, ArcGIS Pro won five out of eight scenarios against QGIS, though QGIS was more time efficient than ArcGIS Pro. At stage 2, ArcGIS Pro had a RMSE value for height of 1,617, which is lower than the 1,961 RMSE value that was on QGIS. At stage 3, ArcGIS Pro had over 90% of the reply rate for most of the questions, representing that ArcGIS Pro’s images were better to visualize the different scenarios. Some comparisons were not completely even though. QGIS had better time accuracy because it did not get as much errors which needed further investigations as in ArcGIS Pro. Although ArcGIS Pro’s processes for creating 3D models were faster. The positional accuracy comparison for the building’s height shows higher accuracy between ArcGIS Pro and the Total Station’s measurements. In QGIS the 3D-modell had no roof model, which made it harder to get accurate height of the building.

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Books on the topic "QGIS"

Baghdadi, Nicolas, Clément Mallet, and Mehrez Zribi, eds. QGIS and Generic Tools. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.

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Baghdadi, Nicolas, Clément Mallet, and Mehrez Zribi, eds. QGIS and Applications in Territorial Planning. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457121.

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Baghdadi, Nicolas, Clément Mallet, and Mehrez Zribi, eds. QGIS and Applications in Water and Risks. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119476726.

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Baghdadi, Nicolas, Clément Mallet, and Mehrez Zribi, eds. QGIS and Applications in Agriculture and Forest. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457107.

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Hildén, Jonatan, and Laura Koivunen-Niemi. Learn to Create a Flow Map in QGIS With Data From UNHCR (2016). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529771565.

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Hildén, Jonatan. Learn to Create a Choropleth Map Using QGIS With Data From Eurostat (2017). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529778328.

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Koivunen-Niemi, Laura. Learn to Create an Animated Map in QGIS With Data From NASA (2020). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529605181.

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Koivunen-Niemi, Laura. Learn to Create a Proportional Symbol Map in QGIS With Data From Eurostat (2010). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529771558.

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Shō, Yū, Nobuhiko Komaki, and Takafusa Iizuka. Chiiki kenkyū no tame no kūkan dēta bunseki: Ōyō hen : QGIS to PostGIS o mochiite. Tōkyō: Kokon Shoin, 2022.

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Koivunen-Niemi, Laura. Learn to Create a Dot Distribution Map in QGIS With Data From Global Shark Attack File (2020). 1 Oliver’s Yard, 55 City Road, London EC1Y 1SP United Kingdom: SAGE Publications, Ltd., 2021. http://dx.doi.org/10.4135/9781529771411.

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Book chapters on the topic "QGIS"

Shekhar, Shashi, and Hui Xiong. "QGIS." In Encyclopedia of GIS, 931. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1052.

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Moyroud, Nicolas, and Frédéric Portet. "Introduction to QGIS." In QGIS and Generic Tools, 1–17. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch1.

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Holloway, Paul. "Getting Started with QGIS." In Understanding GIS through Sustainable Development Goals, 9–17. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003220510-3.

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Lacaze, Bernard, Julita Dudek, and Jérôme Picard. "GRASS GIS Software with QGIS." In QGIS and Generic Tools, 67–106. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch3.

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Ose, Kenji. "Introduction to GDAL Tools in QGIS." In QGIS and Generic Tools, 19–65. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch2.

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Passy, Paul, and Sylvain Théry. "The Use of SAGA GIS Modules in QGIS." In QGIS and Generic Tools, 107–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch4.

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Cresson, Rémi, Manuel Grizonnet, and Julien Michel. "Orfeo ToolBox Applications." In QGIS and Generic Tools, 151–242. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch5.

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Laurent, Jean-Baptiste, and Louise Leroux. "Online Publication of a Land Cover Map Using LizMap." In QGIS and Generic Tools, 243–55. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch6.

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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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Bagheri, Nazgol. "QGIS in Feminist Geographic Research." In Routledge Handbook of Gender and Feminist Geographies, 455–66. Names: Datta, Anindita, 1968- editor. Title: Routledge handbook of gender and feminist geographies/ edited by Anindita Datta, [and four others]. Description: Milton Park, Abingdon, Oxon; New York, NY: Routledge, [2020]: Routledge, 2020. http://dx.doi.org/10.4324/9781315164748-46.

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Conference papers on the topic "QGIS"

Joshi, Nilakshi, Sana Shaikh, Amiyakumar Tripathy, Sumit Sen, Joel Janson, Sagar Karnik, and Blessy Varghese. "Crime Anatomization Using QGIS." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033910.

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Liashenko, D., V. Belenok, R. Spitsa, D. Pavlyuk, and O. Boiko. "Landslide GIS modelling with QGIS software." In XIV International Scientific Conference “Monitoring of Geological Processes and Ecological Condition of the Environment”. European Association of Geoscientists & Engineers, 2020. http://dx.doi.org/10.3997/2214-4609.202056069.

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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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Ramesh, N. V. K., Kvns Charan, P. Sai Gowtham, B. Seetharamulu, and B. Naresh Kumar Reddy. "An Efficient Predicting Lifeforms Using QGIS." In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE, 2022. http://dx.doi.org/10.1109/aic55036.2022.9848971.

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Ghaleb, Hani Saeed Mohammed, Zarina Shukur, Rossilawati Sulaiman, and Hanis Salwan Mobidin. "Implementation of AES algorithm in QGIS software." In 2017 6th International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2017. http://dx.doi.org/10.1109/iceei.2017.8312393.

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Kranjac, M., U. Sikimic, J. Salom, S. Tomic, and S. Bulajic. "Visualization of smart specialisation process using QGIS tools." In 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2018. http://dx.doi.org/10.23919/mipro.2018.8400260.

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Grujic, Nastasija, Olivera Novovic, Sanja Brdar, Vladimir Crnojevic, and Miro Govedarica. "Mobile Phone Data visualization using Python QGIS API." In 2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2019. http://dx.doi.org/10.1109/infoteh.2019.8717767.

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Aishwarya Hegde, A., U. Pruthviraj, and Amba Shetty. "A QGIS Plug-in for Processing MODIS Data." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033711.

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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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Gazzoli, Silvia. "QGIS and Epigraphy: In Situ and Extra Situm Inscriptions." In ArcheoFOSS 2019. Basel Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/environsciproc2021010011.

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Reports on the topic "QGIS"

Metz, L., and A. N. Bear-Crozier. Landslide susceptibility mapping: a remote sensing based approach using QGIS 2.2 (Valmiera): technical manual. Geoscience Australia, 2014. http://dx.doi.org/10.11636/record.2014.056.

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Iatsyshyn, Andrii, Anna Iatsyshyn, Valeriia Kovach, Iryna Zinovieva, Volodymyr Artemchuk, Oleksandr Popov, Olha Cholyshkina, Oleksandr Radchenko, Oksana Radchenko, and Anastasiia Turevych. Application of Open and Specialized Geoinformation Systems for Computer Modelling Studying by Students and PhD Students. [б. в.], November 2020. http://dx.doi.org/10.31812/123456789/4460.

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The article contains research on use of open and specialized geoinformation systems to prepare students and postgraduates on specialties: 101 “Environmental Sciences”, 103 “Earth Sciences”, 122 “Computer Sciences”, 183 “Environmental Technologies”. Analysis of the most common world open geoinformation systems is done. Experience of geoinformation systems use for students and postgraduates teaching for different specialties is described. Predominant orientation towards the use of geoinformation systems in educational process is determined based on the analysis of scientific publications and curricula of the most popular Ukrainian universities. According to the authors the material that is given narrows knowledge and skills of students and postgraduates, particularly in computer modeling. It is concluded that ability of students and postgraduates to use geoinformation systems is interdisciplinary. In particular, it develops knowledge and skills in computer modeling of various processes that may arise in the further professional activity. Examples of professional issues and ways to solve them using geoinformation systems are given. Recommendations are given on the use of open and specialized geoinformation systems in the educational process. It is recommended to use both proprietary (ArcGis, MapInfo) and open GIS (uDIG, QGIS, Whitebox GAT) to teach students. Open GIS (uDIG, QGIS, Whitebox GAT) and specialized (Modular GIS Environment, GEO + CAD, GeoniCS, AISEEM) can be used to teach both students and postgraduates.

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Stewart, Gerard, David Craven, Sam Dawson, Luke Wallace, and Baskaran Sundaram. GIS methods for hydrogeology mapping in Timor-Leste, QGIS version (free software) : vulnerability assessment of climate change impacts on groundwater resources in Timor-Leste. Geoscience Australia, 2012. http://dx.doi.org/10.11636/record.2012.057.

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Stewart, Gerard, David Craven, Sam Dawson, Luke Wallace, and Baskaran Sundaram. GIS methods for hydrogeology mapping in Timor-Leste, QGIS version (free software): vulnerability assessment of climate change impacts on groundwater resources in Timor-Leste. Geoscience Australia, 2012. http://dx.doi.org/10.11636/record.2012/057.

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Shadurdyyev, G. Analysis of sets of factors affecting the variable flow of the Amu Darya River to create a seasonal prognostic model. Kazakh-German University, December 2022. http://dx.doi.org/10.29258/dkucrswp/2022/53-72.eng.

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The Amu Darya River is a transboundary river whose flow of the river in high-water years reaches up to 108 km3 and in low-water years up to 47 km3 and these are huge fluctuations in the water flow of the river for Tajikistan, Kyrgyzstan, Uzbekistan, Turkmenistan, and Afghanistan, that share water among themselves. The point to consider is that the downstream countries Turkmenistan and Uzbekistan (and possibly Afghanistan in the future) use a lot of water for irrigation, and therefore these countries are the ones most in need of an accurate forecast of the volume of water for the upcoming season. An accurate forecast of the volume of water on the seasonal scale is necessary for better planning of the structure of crops, and subsequently water use in the irrigation of crops. An acceptable solution to this challenge is the construction of an empirical time series model that will be used to predict the seasonal flows of the Amu Darya River to improve the planning and management of water resources in downstream countries. This article considers three important discharge time series in the larger Amu Darya Basin. These include the Kerki Gauge on the Amu Darya, Darband Gauge on Vaksh River and Khorog Gauge on Gunt River. Long-term time series from these stations are available for the study of the development and implementation of time-series based models for the prediction of discharge in the basin. At this stage, we attempt to demonstrate a proof-of-concept which can in a second step convince stakeholders to share such type of discharge data operationally for more effective water allocation between sectors and countries. All our work was carried out with the quantitative tools R/RStudio and QGIS. It can serve as a stepping stone for more complex forecasting models in the future.

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Rojas Hernández, Juan Camilo, Julián Felipe Chaves Guerrero, Yalena Mosquera Bahamón, and Milena Edith Borbón Ramos. Análisis espacial del comportamiento del intento de suicidio de casos notificados en Cali y Medellín, Colombia, 2021. Instituto Nacional de Salud, June 2023. http://dx.doi.org/10.33610/01229907.2022v4n2a3.

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Introducción: el intento de suicidio es una conducta potencialmente lesiva, autoinfligida, con la intencionalidad de provocarse la muerte, realizada por un individuo por medio de varios métodos y sin resultado fatal. Entre los factores desencadenantes están la pérdida reciente de un ser querido y bajos ingresos económicos. El objetivo es realizar un análisis espacial para identificar la posible relación entre casos de intento de suicidio, Índice de Pobreza Multidimensional (IPM) y COVID-19, así como determinar las incidencias según IPM durante 2021. Metodología: análisis retrospectivo y espacial de casos de intento de suicidio notificados por Cali y Medellín al Sistema Nacional de Vigilancia en Salud Pública (Sivigila) durante 2021; se revisaron los casos por características de persona, municipio, dirección y fechas de interés. Se realizó geocodificación de la residencia con ArcGIS, Google Maps y OpenStreetMap; se utilizó el sistema de coordenadas WGS-84. Se generaron mapas de puntos con ubicación de casos, mapas de calor por periodos epidemiológicos y superposición con capas de IPM del Departamento Administrativo Nacional de Estadística - DANE y de casos de COVID-19 del GeoVisor Sivigila en el software QGIS 3.16. Resultados: se identificaron áreas con concentración de casos para las dos ciudades, en zonas principalmente con IPM por encima del 30 %. No se encontró una relación entre las incidencias ajustadas por IPM; sin embargo, se identificó una posible concordancia temporal entre los picos de COVID-19 con una tendencia al aumento en casos de intento de suicidio para los siguientes periodos epidemiológicos. Discusión: el comportamiento de casos presenta un predomino espacial en áreas con IPM >30 %, al igual que los casos y fallecidos por COVID-19 puede explicar la distribución tipo clúster. Al analizar las incidencias ajustadas por IPM no se encontró una asociación clara, mostrando una posible relación entre la incidencia de casos y la densidad de población de los territorios. Se recomienda implementar este tipo de análisis en otros territorios, revisar factores desencadenantes y de riesgo que puedan estar afectando a la población, con el fin de conocer mejor el comportamiento de esta conducta, identificar áreas de riesgo y orientar esfuerzos en prevención en el país.

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