Watch the recording to learn how to uncover hidden patterns and improve predictive modeling with spatial analysis and data science.
In this session you will learn how spatial statistics in ArcGIS empowers you to answer questions confidently and make important decisions using more than simple visual analysis. In this session, we will look at a couple of scenarios that demonstrate the power of spatial analysis including deep learning, network analysis, buffers, barriers, and cost surface analysis. Additionally, we will conduct both raster and vector analysis and show you how to find patterns, facilitate collaboration, and accelerate your science with ArcGIS.
Links to resources:
Data Science Resources
Python Libraries
Spatial Statistics Hub site with resources
Spatial Data Science MOOC
Spatial Data Science Training Courses
Spatial Approaches to determine accessibility blog
Refugee Tents Detection Deep Learning Package
Network Analysis ModelBuilder Geoprocessing Tools Project Package
Creating a Hydrograph with a DEM Geoprocessing Tools Project Package
Tents, Latrines, and Washrooms within High-Risk Flood Zones
SDG 6: A Rohingya Refugee Camp Analysis Story
