Geospatial analysis is a collection of quantitative and computational methods for examining data that are explicitly referenced in geographic space, typically using coordinate-based representations such as vector (points, lines, polygons) and raster (grids) models. It encompasses spatial statistics, spatial autocorrelation assessment, geostatistics (e.g., kriging), network and proximity analysis, spatial interpolation, and spatial-temporal modeling, often implemented within Geographic Information Systems (GIS) and spatial databases. These methods exploit spatial relationships—distance, adjacency, containment, and topology—to detect patterns, model processes, and support inference and prediction across domains such as environmental science, epidemiology, transportation, and urban planning.
Scientists have developed a new method to identify and map plastic waste in urban areas using satellite imagery, offering new hope for tracking pollution and improving waste management in cities worldwide.
Environment
Jul 1, 2025
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Satellite data used by archaeologists to find traces of ancient ruins hidden under dense forest canopies can also be used to improve the speed and accuracy to measure how much carbon is retained and released in forests.
Ecology
Jun 14, 2025
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Approximately 30% of global carbon dioxide (CO2) emissions are removed by terrestrial vegetation through photosynthesis. Researchers affiliated with UNIST have unveiled an innovative artificial intelligence (AI) analysis ...
Environment
Jun 4, 2025
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A new study of the 28 most populous U.S. cities finds that all are sinking to one degree or another. The cities include not just those on the coasts, where relative sea level is a concern, but many in the interior. Furthermore, ...
Earth Sciences
May 8, 2025
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In a sweeping new study of more than 13,000 urban areas worldwide, researchers have mapped air pollution levels and carbon dioxide emissions, providing comprehensive global analysis of urban environmental quality.
Earth Sciences
May 7, 2025
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91
A study led by Prof. Zhang Nannan from the Xinjiang Institute of Ecology and Geography (XIEG) of the Chinese Academy of Sciences has introduced an innovative geological knowledge-constrained method for extracting entities ...
Earth Sciences
Apr 22, 2025
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23
Data from NISAR will improve our understanding of such phenomena as earthquakes, volcanoes, and landslides, as well as damage to infrastructure.
Planetary Sciences
Nov 8, 2024
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