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An Introduction to Spatial Data Science with GeoDa

Volume 2: Clustering Spatial Data

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  • 210 pages
  • 8 hours of reading

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Focusing on spatial clustering, this second volume delves into the organization of spatial data into meaningful groups, advancing beyond mere exploration. It highlights the significance of clustering as a crucial component of contemporary machine learning, making it essential for those interested in the evolving field of spatial data science.

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An Introduction to Spatial Data Science with GeoDa, Luc Anselin

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Released
2024
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Title
An Introduction to Spatial Data Science with GeoDa
Subtitle
Volume 2: Clustering Spatial Data
Language
English
Released
2024
Format
Hardcover
Pages
210
ISBN13
9781032713021
Series
Description
Focusing on spatial clustering, this second volume delves into the organization of spatial data into meaningful groups, advancing beyond mere exploration. It highlights the significance of clustering as a crucial component of contemporary machine learning, making it essential for those interested in the evolving field of spatial data science.