This project presents a spatial modeling framework for predicting Soil Organic Carbon (SOC) concentrations across Mato Grosso, Brazil, using machine learning techniques and Earth observation data.
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This codebook provides an overview of the variables, data sources, and spatial data science methods that will be employed to analyze the spatial relationship between Airbnb listings, housing prices, and the short-let market in London City. The primary objective is to investigate the potential impact of Airbnb on local housing markets and short-let activity..
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The 2022 Mosquito Fire was a large wildfire that burned in California's Placer and El Dorado counties as the state's largest wildfire of the year.
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Development of a notebook and webGIS platform to measure healthcare facility accessibility in Zamfara state and identify suitable locations for new facilities.
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Leveraging Location Intelligence to Find the Perfect Spot for a Restaurant Near Osun-Osogbo Sacred Grove
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