Geospatial analytics is the practice of collecting, manipulating, analyzing, and interpreting geographic or spatial data. It involves using various technologies, including Geographic Information Systems (GIS), remote sensing, and GPS, to gather and analyze data about specific locations and the features within them.
Geospatial analytics can be used to create visualizations, maps, and models that help individuals and organizations make informed decisions based on spatial patterns and relationships. It is commonly used in a wide range of industries, including urban planning, natural resource management, environmental monitoring, logistics, public health, and emergency management.
Some common applications of geospatial analytics include identifying patterns in disease outbreaks, analyzing the effectiveness of transportation networks, assessing the impact of climate change on ecosystems, and predicting the likelihood of natural disasters such as floods or wildfires.