Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách keo gáy, bìa mềm
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. The book is intended for readers interested in going
beyond simple mapping of geographical data to gain insight into
interesting patterns. Some basic familiarity with statistical concepts
is assumed, but no previous knowledge of GIS or mapping is required. 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 website This book is
both useful as a reference for the software and as a text for students
and researchers of spatial data science.
Content Type:Books
Year:2024
Language:english
Trang: 453
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