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Data & Resources

I have two un-updatable priors: 1) anything can be done on R, and 2) spatial analysis is the only type of research that's genuinely fun to do. Check out these data resources, maybe you'll become a convert too 😎.

Land-Use

Global Wetland, 2000 - 2022 (Zhang et al., 2024)

U.S. Gridded Land Use,1940 - 2015 (Shane et al., 2022)

Urban Land-Use

U.S. Settlement Evolution, 1810 - 2020 (Ahn et al., 2024)

U.S. Urban Local Climate Zone, 1986 - 2020 (Qi et al., 2024)

NYC Inventory of Tree Canopy (Ma et al., 2023)

European Population, Land-use and Economic estimates, 1870-2020 (Paprotny & Mengel, 2023)

Chinese Urban Blue-Green-Grey Landscape at 3m resolution (Xu and Zhao, 2024)

Natural Resource

Global Inventory of Solar PV panels (Kruitwagen et al., 2021)

Global Inventory of Mines (Maus et al., 2022)

Global Inventory of Offshore Wind Turbines (Zhang et al., 2021)

U.S. Solar PV Facilities in Western Interconnection (Hu et al.) Available soon. 

U.S. Georectified Large-Scale Ground-Mounted Solar PV Facilities (Fujita et al., 2023)

U.S. Groundwater Wells, 1763 - 2023 (Lin et al., 2024)

Chinese Ground-Mounted Solar PV Plants, 2020 (Feng et al., 2024)

Pollution

Chinese Daily Average Aircraft PM2.5 Pollution, 2006 - 2023 (Cui et al., 2024)

Chinese City Building Emission, 2015 - 2020 (Yu et al., 2024)

Chinese City Livestock Methane Emission, 2010 - 2020 (Du et al., 2024)

Chinese City Heavy Metal Emission, 2015 - 2020 (Dong et al., 2024)

Brazilian Contaminated Sites (Samlani et al., 2024)

Spatial Analysis on R

Guide to Combine Spatial Data with the U.S. Census Data (Walker, 2023)

U.S. Spatial Wealth Inequality, 1960 - 2020 (Suss et al., 2024)

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