The most outstanding application possibilities of python in GIS and spatial science can be discussed under spatial data handling, spatial data analysis, and spatial data visualization.
Spatial Analysis
Spatial Analysis
Using Historical Photographs to Map Landscape Change
Recently, scientists have begun to use old photographs, some going back to the mid 19th century, to classify landscape change.
Spatial Analysis
Using Remote Sensing to Detect Structural Changes in Bridges
Researchers are using synthetic aperture radar (SAR) collected from satellites to detect structural changes in bridges.
Spatial Analysis
Mapping Migration Based on Search Data
Researchers have create ways to map migration based on online searches of migrants as they prepare to leave their country of origin.
Spatial Analysis
Using GIS to Analyze People’s Attitudes
GIS can help researchers analyze spatial data within social media posts in order to understand how people react to different features in their environment.
Spatial Analysis
Mapping School Performance and Inequality With GIS
With GIS, researchers can look at how effective schools are relative to spatial measures.
Spatial Analysis
How Archaeologists are Using GIS to Explore Sounds of the Past
Two archaeologists are using GIS tools to model the ancient soundscape of New Mexico’s Chaco Canyon.
Spatial Analysis
Using Machine Learning and Surface Deformation Data to Predict Earthquakes
There is no easy solution for earthquake prediction, but machine learning in particular has made forecasting far better.
Spatial Analysis
GIS and Named Entity Recognition: Identifying Geographic Locations in Text
Within the larger field of natural language processing, new methods are bring developed that are merging geographic information with basic texts and human language.
Spatial Analysis
Using GIS to Analyze Pedestrian Accessibility
GIS tools to compute pedestrian accessibility are not just available to governments, academics, or companies, but are also free and open source.