2nd Edition. — CRC Press, 2021. — 354 p. — ISBN13: 978-1-003-02164-3 (eBook). In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R. The use and growth of artificial...
CRC Press, 2023. — 315 р. — (The R Series). — ISBN: 978-0-429-45901-6. Spatial Data Science introduces fundamental aspects of spatial data that every data scientist should know before they start working with spatial data. These aspects include how geometries are represented, coordinate reference systems (projections, datums), the fact that the Earth is round and its...
CRC Press, 2025. — 281 р. — ISBN: 978-1-003-38038-2. The book presents a general mathematical framework able to detect and to characterise, from a morphological and statistical perspective, patterns hidden in spatial data. The mathematical tools employed are Gibbs Markov processes, mainly marked point procesess with interaction, which permits us to reduce the complexity of the...
ESRI Press, 2023. — 150 р. — ISBN-13: 978-1589485709. Spatial statistics empowers you to answer questions confidently and make important decisions using more than simple visual analysis. Thanks to the data and computational power now at our fingertips, data science is in every aspect of our lives. But with so many algorithms and buzzwords floating around, where do you start to...
Pelagic Publishing, 2020. — 300 p. — ISBN: 978-1-78427-214-2 (EPUB). This is a book about how environmental scientist can integrate remote sensing and GIS in their research. It will allow readers to get started with the application of remote sensing as well as GIS and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from...
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