Lauren Bennett, Flora Vale

Spatial Statistics Illustrated (eBook, ePUB)

Illustrator: Vale, Flora

• Format: ePub

Produktbeschreibung

Spatial statistics empower you to go beyond visual analysis to answer questions confidently and make data-driven decisions.

Spatial Statistics Illustrated is an introductory book for learning the concepts behind the powerful spatial statistics tools in ArcGIS.

With approachable explanations and uncomplicated drawings, Spatial Statistics Illustrated gives readers an accessible understanding of some of the most widely used spatial statistics methods, including how they work and when to use them. In a friendly, conversational tone, the authors share techniques that can help you explore your data in meaningful ways; quantify patterns and relationships; understand trends, and make informed, impactful decisions. This book is a perfect complement to more traditional, technical statistics and spatial statistics texts. From seasoned data scientists looking to explore the value that spatial thinking brings to the GIS analyst looking to expand into spatial statistics, this book has something for everyone.

Dr. Lauren Bennett leads the Spatial Analysis and Data Science product engineering team at Esri. Lauren received a BA in Geography from McGill University, an MS in Geographic and Cartographic Science from George Mason University, and her PhD in Information Systems and Technology from Claremont Graduate University.

Flora Vale is a product engineer on Esri's Spatial Analysis and Data Science team. In addition to building software, Flora loves teaching analytical methods through conceptual illustrations. Flora studied Geography and GIS at University of Maryland, and is currently pursuing a PhD in Information Systems and Technology at Claremont Graduate University.

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Produktdetails

• Verlag: Esri Press
• Erscheinungstermin: 6. Juni 2023
• Englisch
• ISBN-13: 9781589485716
• Artikelnr.: 67973802

Autorenporträt

Dr. Lauren Bennett leads the Spatial Analysis and Data Science product engineering team at Esri. In her role, she oversees the R&D of the ArcGIS geoprocessing framework, which includes spatial and spatiotemporal statistics, raster and multidimensional analysis, machine learning and big data analytics. Lauren is passionate about the power of spatial data science to make an impact on our world, from racial equity and social justice to public health to climate change. Lauren received a BA in Geography from McGill University, an MS in Geographic and Cartographic Science from George Mason University, and her PhD in Information Systems and Technology from Claremont Graduate University.