The spatial analysis category looks at data manipulation techniques in GIS.
This lesson demonstrates how to use spatial data science and remote sensing techniques in ArcGIS Pro to predict soil erosion from a catchment using the Universal Soil Loss Equation (USLE).
Satellites and remote sensing tools are providing a way to better forecast and determine the severity of lightning.
Tutorial showing how to map fire risk for a region with slope, elevation, aspect, and land use data in ArcGIS Pro.
Remote sensing techniques, particularly those based on satellite, drone, and aircraft data, have revolutionized collecting ecosystem data.
This tutorial demonstrates a shoreline extraction strategy in ArcGIS Pro by explaning how to use the Tasseled Cap and Normalized Difference Vegetation Index (NDVI) to automatically delineate shoreline using the Landsat toolkit.
Using this tutorial, ArcGIS Pro users will learn how to do a site selection analysis, which includes analyzing travel times and accessibility to a location via various modes of transportation.
Mapping and understanding food deserts is important if we are to understand how best to tackle the lack of healthy food options in the United States.
Anindita Ghosh discusses her study that used GIS tools and analysis to map out areas with groundwater potential in a desert.
Alexandros Voukenas explains how to calculate land use mix indices (such as entropy) in a GIS environment.
This tutorial makes use of spatial data science and remote sensing techniques to assess the susceptibility of floods using ArcGIS Pro.
GIS and geographical techniques can be useful in determining where rewilding operations are most likely to succeed and in making better decisions about what to rewild.
GeoAlert provides an overview of some of the features of its new Mapflow application.