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21

Combining explanatory crop models with geospatial data for regional analyses of crop yield using field-scale modeling units
Resop, Jonathan P. ; Fleisher, David H. ; Wang, Qingguo ; et al.
In Computers and Electronics in Agriculture November 2012 89:51-61

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22

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23

River morphology information system: A web cyberinfrastructure for advancing river morphology research
Sermet, Yusuf ; Liang, Chung-Yuan ; Dey, Sayan ; et al.
In Environmental Modelling and Software January 2025 183

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24

Learning Geospatial Analysis with Python
Lawhead, Joel ; Lawhead, Joel ; Lawhead, Joel ; et al.

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25

Automated geovisualization of flood disaster impacts in the global South cities with open geospatial data sets and ICEYE SAR flood data
Nygren, Ohto ; Calle, Mikel ; Gonzales-Inca, Carlos ; et al.
In International Journal of Disaster Risk Reduction March 2024 103

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26

VoxCity: A seamless framework for open geospatial data integration, grid-based semantic 3D city model generation, and urban environment simulation
Fujiwara, Kunihiko ; Tsurumi, Ryuta ; Kiyono, Tomoki ; et al.
In Computers, Environment and Urban Systems January 2026 123

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27

Spatially explicit spectral analysis of point clouds and geospatial data
Buscombe, Daniel
In Computers and Geosciences January 2016 86:92-108

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28

Introducing PtAC – an open source tool to assess SDG 11.2 using open data
Nieland, Simon ; Goletz, Mirko ; Krajzewicz, Daniel ; et al.
In Transportation Research Interdisciplinary Perspectives July 2025 32

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29

Google Earth Engine for geo-big data applications: A meta-analysis and systematic review
Tamiminia, Haifa ; Salehi, Bahram ; Mahdianpari, Masoud ; et al.
In ISPRS Journal of Photogrammetry and Remote Sensing June 2020 164:152-170

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30

PaRaVis: An automatic Python graphical package for ensemble analysis of plant beta diversity using remote sensing proxies
Fathi, Mohammad Reza ; Latifi, Hooman ; Gholizadeh, Hamed ; et al.
In Ecological Informatics September 2024 82

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32

Sinkhole susceptibility analysis using machine learning for west central Florida
Muili, Olanrewaju ; Babaie, Hassan A.
In Applied Computing and Geosciences September 2025 27

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33

A geospatial approach to identifying and mapping areas of relative environmental pressure on ecosystem integrity
Nasr, Mina ; Orwin, John F.
In Journal of Environmental Management November 2024 370

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34

Bi-dimensional vector data analysis of positional accuracy of landsat-8 image with pycircularstats
Cuartero Sáez, Aurora ; Paoletti Ávila, Mercedes Eugenia ; Rey Presas, Andrea ; et al.
A. Cuartero, M. E. Paoletti, A. R. Presas and J. M. Haut, "Bi-Dimensional Vector Data Analysis of Positional Accuracy of Landsat-8 Image with Pycircularstats," IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia, 2022, pp. 2442-2445, doi: 10.1109/IGARSS46834.2022.9883588.

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35

Spatially-explicit sensitivity and uncertainty analysis in a MCDA-based flood vulnerability model.
de Brito, Mariana Madruga ; Almoradie, Adrian ; Evers, Mariele
International Journal of Geographical Information Science. Sep2019, Vol. 33 Issue 9, p1788-1806. 19p.

Data libraries Analytic network process Sensitivity analysis Geospatial data Construction materials Floods
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36

Learning Geospatial Analysis with Python - Second Edition Ed. 2
Lawhead, Joel ; Lawhead, Joel ; Lawhead, Joel ; et al.

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37

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38

Application of Google earth engine python API and NAIP imagery for land use and land cover classification: A case study in Florida, USA
Prasai, Ritika ; Schwertner, T. Wayne ; Mainali, Kumar ; et al.
In Ecological Informatics December 2021 66

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39

Geodata-Harvester: A Python package to jumpstart geospatial data extraction and analysis.
Sebastian Haan ; Januar Harianto ; Nathaniel Butterworth ; et al.
J. Open Source Softw.. 8(90):5205-5205

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40

ToxPi*GIS Toolkit: creating, viewing, and sharing integrative visualizations for geospatial data using ArcGIS
Fleming, Jonathon ; Marvel, Skylar W. ; Supak, Stacy ; et al.
Journal of Exposure Science & Environmental Epidemiology: Official journal of the International Society of Exposure Science. 32(6):900-907

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