Python for Geospatial Data Analysis First Early Release

Python for Geospatial Data Analysis (First Early Release) Bonny P. McClain
In spatial data science, things in closer proximity to one another likely have more in common than things that are farther apart. With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysis and visualization will learn the fundamentals of spatial data analysis to gain a deeper understanding of their data questions.Author Bonny McClain demonstrates why data mapping is important for looking at outliers, distribution, variables, and temporal charts. You’ll learn how visual exploration can reveal inaccurate geocodes or location statistics. The application of geospatial analysis is relevant for professionals working with pattern detection, clustering, and deep learning.This book helps you:Understand the importance of applying spatial relationships in data scienceSelect and apply data layering of both raster and vector graphicsApply location data to leverage spatial analyticsDesign informative and accurate mapsAutomate geographic data with Python scriptsExplore Python packages for additional functionalityWork with atypical data types such as polygons, shape files, and projectionsUnderstand the graphical syntax of spatial data science to stimulate curiosity Categories:
Computers – Programming
Year:
2022
Edition:
2021-08-25: First Early Release
Publisher:
O’Reilly Media, Inc.
Language:
english
ISBN 10:
1098104722
ISBN 13:
9781098104726
File:
18 MB