How Long to Read An Introduction to Spatial Data Science with Geoda

How Long Does it Take to Read An Introduction to Spatial Data Science with Geoda?

It takes the average reader to read An Introduction to Spatial Data Science with Geoda by LUC. ANSELIN

Assuming a reading speed of 250 words per minute. Learn more

Description

This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user's guide for the widely adopted GeoDa open source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data. The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration, to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods, by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa. Key Features: - Includes spatial perspectives on cluster analysis. - Focuses on exploring spatial data. - Supplemented by extensive support with sample data sets and examples on the GeoDaCenter web site. This book is both useful as a reference on the software and as a text for students and researchers of spatial data science. Luc Anselin is the Founding Director of the Center for Spatial Data Science at the University of Chicago, where he is also Stein-Freiler Distinguished Service Professor of Sociology and the College, as well as a member of the Committee on Data Science. He is the creator of the GeoDa software and an active contributor to the PySAL Python open source software library for spatial analysis. He has written widely on topics dealing with the methodology of spatial data analysis, including his classic 1988 text on Spatial Econometrics. His work has been recognized by many awards, such as his election to the U.S. National Academy of Science and the American Academy of Arts and Science.

How long is An Introduction to Spatial Data Science with Geoda?

An Introduction to Spatial Data Science with Geoda by LUC. ANSELIN is 0 pages long, and a total of 0 words.

This makes it 0% the length of the average book. It also has 0% more words than the average book.

How Long Does it Take to Read An Introduction to Spatial Data Science with Geoda Aloud?

The average oral reading speed is 183 words per minute. This means it takes to read An Introduction to Spatial Data Science with Geoda aloud.

What Reading Level is An Introduction to Spatial Data Science with Geoda?

An Introduction to Spatial Data Science with Geoda is suitable for students ages 2 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy An Introduction to Spatial Data Science with Geoda?

An Introduction to Spatial Data Science with Geoda by LUC. ANSELIN is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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