CRC Press /Chapman & Hall, 2021. — 546 p. — (Data Science Series). — ISBN 9780429027192. Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor...
Springer International Publishing AG, 2018. — 272 p. — (Advanced Studies in Theoretical and Applied Econometrics 51) — ISBN: 3319725521. This book treats the notion of morphisms in spatial analysis, paralleling these concepts in spatial statistics (Part I) and spatial econometrics (Part II). The principal concept is morphism (e.g., isomorphisms, homomorphisms, and...
Wiley, 2022. — 320 p. — ISBN 978-1-118-76357-5. In Spatial Analysis, two distinguished authors deliver a practical and insightful exploration of the statistical investigation of the interdependence of random variables as a function of their spatial proximity. The book expertly blends theory and application, offering numerous worked examples and exercises at the end of each...
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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