Literatura académica sobre el tema "QGIS"
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Artículos de revistas sobre el tema "QGIS"
IDRIZI, Bashkim, Lyubka PASHOVA y Pal NIKOLLI. "Lifelong training program on QGIS tools for earth observation sciences in south-east Europe". European Journal of Geography 12, n.º 3 (11 de noviembre de 2021): 88–102. http://dx.doi.org/10.48088/ejg.b.idr.12.3.88.102.
Texto completoPodolskaia, E. S. "REVIEW OF OPEN SOURCE QGIS FORESTRY PLUGINS". Forest Science Issues 5, n.º 1 (29 de marzo de 2022): 1–11. http://dx.doi.org/10.31509/2658-607x-202251-98.
Texto completoPodolskaia, E. S. "REVIEW OF OPEN SOURCE QGIS FORESTRY PLUGINS". FOREST SCIENCE ISSUES 4, n.º 2 (23 de agosto de 2021): 1–11. http://dx.doi.org/10.31509/2658-607x-202142-1.
Texto completoLakshita, N. M. y S. Rahayu. "Urban Dynamics and Carbon Stock Estimation in Salatiga City, Indonesia". IOP Conference Series: Earth and Environmental Science 887, n.º 1 (1 de octubre de 2021): 012015. http://dx.doi.org/10.1088/1755-1315/887/1/012015.
Texto completoStuckey, Owen. "A Comparison of ArcGIS and QGIS for Animation". Cartographic Perspectives, n.º 85 (22 de junio de 2017): 23–32. http://dx.doi.org/10.14714/cp85.1405.
Texto completoVikhot, Yuriy, Solomiia Kril y Ihor Bubniak. "DIGITAL GEOLOGICAL MAPPING AND GEODATA ANALYSIS USING TOOLS AND PLUGINS OF QGIS". SCIENTIFIC PAPERS OF DONNTU Series: “The Mining and Geology”, n.º 1(27)-2(28)2022 (2022): 122–35. http://dx.doi.org/10.31474/2073-9575-2022-1(27)-2(28)-122-135.
Texto completoKapur, Đorđe. "REŠAVANJE PROBLEMA DOSTAVE POMOĆU QGIS-a". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 36, n.º 01 (30 de diciembre de 2020): 171–74. http://dx.doi.org/10.24867/11ds03kapur.
Texto completoS, Satheeshkumar, Birundha A, Sivabharathi T, Subha R y Swetha J. "Interpretation of Road Network using QGIS". Irish Interdisciplinary Journal of Science & Research 06, n.º 02 (2022): 101–9. http://dx.doi.org/10.46759/iijsr.2022.6214.
Texto completoKapur, Đorđe. "REŠAVANJE PROBLEMA DOSTAVE POMOĆU QGIS-a". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 36, n.º 01 (30 de diciembre de 2020): 171–74. http://dx.doi.org/10.24867/11ds03kapur.
Texto completoJakimow, Benjamin, Andreas Janz, Fabian Thiel, Akpona Okujeni, Patrick Hostert y Sebastian van der Linden. "EnMAP-Box: Imaging spectroscopy in QGIS". SoftwareX 23 (julio de 2023): 101507. http://dx.doi.org/10.1016/j.softx.2023.101507.
Texto completoTesis sobre el tema "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.
Texto completoŠilháček, Ondřej. "Vizualizace katastrální mapy v ArcGIS a QGIS". Master's thesis, Česká zemědělská univerzita v Praze, 2016. http://www.nusl.cz/ntk/nusl-259283.
Texto completoEnglund, 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.
Texto completoPihl, 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.
Texto completoLarsson, 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.
Texto completoLindén, 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.
Texto completoCamargo, 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/.
Texto completoNesta 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.
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.
Texto completoMany 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.
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.
Texto completoMade 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.
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.
Texto completoIt 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.
Libros sobre el tema "QGIS"
Baghdadi, Nicolas, Clément Mallet y Mehrez Zribi, eds. QGIS and Generic Tools. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.
Texto completoBaghdadi, Nicolas, Clément Mallet y Mehrez Zribi, eds. QGIS and Applications in Territorial Planning. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457121.
Texto completoBaghdadi, Nicolas, Clément Mallet y 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.
Texto completoBaghdadi, Nicolas, Clément Mallet y 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.
Texto completoHildén, Jonatan y 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.
Texto completoHildén, 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.
Texto completoKoivunen-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.
Texto completoKoivunen-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.
Texto completoShō, Yū, Nobuhiko Komaki y Takafusa Iizuka. Chiiki kenkyū no tame no kūkan dēta bunseki: Ōyō hen : QGIS to PostGIS o mochiite. Tōkyō: Kokon Shoin, 2022.
Buscar texto completoKoivunen-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.
Texto completoCapítulos de libros sobre el tema "QGIS"
Shekhar, Shashi y Hui Xiong. "QGIS". En Encyclopedia of GIS, 931. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1052.
Texto completoMoyroud, Nicolas y Frédéric Portet. "Introduction to QGIS". En QGIS and Generic Tools, 1–17. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch1.
Texto completoHolloway, Paul. "Getting Started with QGIS". En Understanding GIS through Sustainable Development Goals, 9–17. Boca Raton: CRC Press, 2023. http://dx.doi.org/10.1201/9781003220510-3.
Texto completoLacaze, Bernard, Julita Dudek y Jérôme Picard. "GRASS GIS Software with QGIS". En QGIS and Generic Tools, 67–106. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch3.
Texto completoOse, Kenji. "Introduction to GDAL Tools in QGIS". En QGIS and Generic Tools, 19–65. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch2.
Texto completoPassy, Paul y Sylvain Théry. "The Use of SAGA GIS Modules in QGIS". En QGIS and Generic Tools, 107–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch4.
Texto completoCresson, Rémi, Manuel Grizonnet y Julien Michel. "Orfeo ToolBox Applications". En QGIS and Generic Tools, 151–242. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch5.
Texto completoLaurent, Jean-Baptiste y Louise Leroux. "Online Publication of a Land Cover Map Using LizMap". En QGIS and Generic Tools, 243–55. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch6.
Texto completoHerbreteau, Vincent, Christophe Révillion y Etienne Trimaille. "GeoHealth and QuickOSM, Two QGIS Plugins for Health Applications". En QGIS and Generic Tools, 257–86. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119457091.ch7.
Texto completoBagheri, Nazgol. "QGIS in Feminist Geographic Research". En 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.
Texto completoActas de conferencias sobre el tema "QGIS"
Joshi, Nilakshi, Sana Shaikh, Amiyakumar Tripathy, Sumit Sen, Joel Janson, Sagar Karnik y Blessy Varghese. "Crime Anatomization Using QGIS". En 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033910.
Texto completoLiashenko, D., V. Belenok, R. Spitsa, D. Pavlyuk y O. Boiko. "Landslide GIS modelling with QGIS software". En 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.
Texto completoSaxena, Vivek, Priyanka Mundra y Divyani Jigyasu. "Efficient Viewshed Analysis as QGIS Plugin". En 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN). IEEE, 2020. http://dx.doi.org/10.1109/icacccn51052.2020.9362730.
Texto completoRamesh, N. V. K., Kvns Charan, P. Sai Gowtham, B. Seetharamulu y B. Naresh Kumar Reddy. "An Efficient Predicting Lifeforms Using QGIS". En 2022 IEEE World Conference on Applied Intelligence and Computing (AIC). IEEE, 2022. http://dx.doi.org/10.1109/aic55036.2022.9848971.
Texto completoGhaleb, Hani Saeed Mohammed, Zarina Shukur, Rossilawati Sulaiman y Hanis Salwan Mobidin. "Implementation of AES algorithm in QGIS software". En 2017 6th International Conference on Electrical Engineering and Informatics (ICEEI). IEEE, 2017. http://dx.doi.org/10.1109/iceei.2017.8312393.
Texto completoKranjac, M., U. Sikimic, J. Salom, S. Tomic y S. Bulajic. "Visualization of smart specialisation process using QGIS tools". En 2018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2018. http://dx.doi.org/10.23919/mipro.2018.8400260.
Texto completoGrujic, Nastasija, Olivera Novovic, Sanja Brdar, Vladimir Crnojevic y Miro Govedarica. "Mobile Phone Data visualization using Python QGIS API". En 2019 18th International Symposium INFOTEH-JAHORINA (INFOTEH). IEEE, 2019. http://dx.doi.org/10.1109/infoteh.2019.8717767.
Texto completoAishwarya Hegde, A., U. Pruthviraj y Amba Shetty. "A QGIS Plug-in for Processing MODIS Data". En 2019 IEEE 5th International Conference for Convergence in Technology (I2CT). IEEE, 2019. http://dx.doi.org/10.1109/i2ct45611.2019.9033711.
Texto completoAnamelechi, Falasy y Richard Cooke. "LiDARThAn: A One Click QGIS Plugin for LiDAR Thinning". En 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.
Texto completoGazzoli, Silvia. "QGIS and Epigraphy: In Situ and Extra Situm Inscriptions". En ArcheoFOSS 2019. Basel Switzerland: MDPI, 2021. http://dx.doi.org/10.3390/environsciproc2021010011.
Texto completoInformes sobre el tema "QGIS"
Metz, L. y 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.
Texto completoIatsyshyn, Andrii, Anna Iatsyshyn, Valeriia Kovach, Iryna Zinovieva, Volodymyr Artemchuk, Oleksandr Popov, Olha Cholyshkina, Oleksandr Radchenko, Oksana Radchenko y Anastasiia Turevych. Application of Open and Specialized Geoinformation Systems for Computer Modelling Studying by Students and PhD Students. [б. в.], noviembre de 2020. http://dx.doi.org/10.31812/123456789/4460.
Texto completoStewart, Gerard, David Craven, Sam Dawson, Luke Wallace y 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.
Texto completoStewart, Gerard, David Craven, Sam Dawson, Luke Wallace y 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.
Texto completoShadurdyyev, G. Analysis of sets of factors affecting the variable flow of the Amu Darya River to create a seasonal prognostic model. Kazakh-German University, diciembre de 2022. http://dx.doi.org/10.29258/dkucrswp/2022/53-72.eng.
Texto completoRojas Hernández, Juan Camilo, Julián Felipe Chaves Guerrero, Yalena Mosquera Bahamón y 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, junio de 2023. http://dx.doi.org/10.33610/01229907.2022v4n2a3.
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