Geocomputation with Python is a comprehensive resource for working with geographic data with the most popular programming language in the world. The book gives an overview of Pythons capabilities for spatial data analysis, as well as many examples...Loe edasi...
Advances in high-performance computing, computer vision, and big data analytics enable the efficient processing of big-geospatial data. Geospatial communities have adopted these techniques in a variety of applications. This book is a comprehensive o...Loe edasi...
There is a lack of books on the broader topic of scientific workflows for geospatial data processing and analysis. This book aims to fill this gap by providing a series of tutorials aimed at teaching good practices for using geospatial data to addre...Loe edasi...
This book focuses on data mining for co-location pattern, a valid method for identifying patterns from all types of data and applying them in business intelligence and analytics. It explains the fundamentals of co-location pattern mining, co-locatio...Loe edasi...
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies....Loe edasi...
This book shows how to model disease risk and quantify risk factors using areal and geostatistical data. It also shows how to create interactive maps of disease risk and risk factors, and describes how to build interactive dashboards and Shiny web a...Loe edasi...
