Spatial Autocorrelation: A Fundamental Property of Geospatial Sciences is an in-depth guide to understanding a crucial aspect of spatial analysis. The book begins with theories and clear definitions, laying a solid foundation for the reader. T...Loe edasi...
This is an introduction for social science students to the growing field of spatial data analysis using the R platform. The text assumes no prior knowledge of either, beyond the contents of an introductory statistics course. It uses the open-sourc...Loe edasi...
The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration. Grid Square statistics is a techniqu...Loe edasi...
The ever-expanding availability of spatial data continues to revolutionise research. This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data.Without assuming prior knowledge of GIS, geoco...Loe edasi...
The accessible and student-friendly how to for anyone using R for the first time to analyse location-based data. The ever-expanding availability of spatial data continues to revolutionise research. This book is your go-to guide to...Loe edasi...
(Ilmumisaeg: 25-Feb-2025, Paperback / softback, Kirjastus: John Wiley & Sons Inc, ISBN-13: 9781119526971)
A practice-oriented and accessible introduction to geographical statistics In the newly revised Second Edition of Practical Statistics for Geographers and Earth Scientists, distinguished researcher Nigel Walford delivers an author...Loe edasi...
Francois Pinet, Mireille Batton-Hubert, Eric Desjardin
(Ilmumisaeg: 11-Mar-2024, Hardback, Kirjastus: ISTE Ltd and John Wiley & Sons Inc, ISBN-13: 9781786302984)
Geographical data often contains imperfections associated with insufficient precision, errors or incompleteness. If these imperfections are not identified, taken into account and controlled when using the data, the potential for errors may arise,...Loe edasi...
Multiscale Geographically Weighted Regression (MGWR) is an important method that is used across many disciplines for exploring spatial heterogeneity and modeling local spatial processes. This book introduces the concepts behind l...Loe edasi...
Tools such as GIS and remote sensing are increasingly being used in monitoring agricultural resources. As a result, there is need for effective methods for the collection and analysis of agricultural data with particular reference to space. Since...Loe edasi...
Representation of geographical data using graphs, diagrams and mapping techniques is a key for geographers and for researchers in other disciplines to explore the nature of data, the pattern of spatial and temporal variations and their relationships,...Loe edasi...
The methods and techniques presented in this book are focused on spatial data and its use in monitoring agricultural resources, farm management, and regional markets. Spatial econometrics models are introduced for different data types relevant to...Loe edasi...
Representation of geographical data using graphs, diagrams and mapping techniques is a key for geographers and for researchers in other disciplines to explore the nature of data, the pattern of spatial and temporal variations and their relationships,...Loe edasi...
This accessible new textbook offers a straightforward introduction to doing spatial statistics in the context of unique considerations that apply with geographic data. Grounded in real world examples, it shows you how to extend traditional statist...Loe edasi...
This accessible new textbook offers a straightforward introduction to doing spatial statistics. Grounded in real world examples, it shows you how to extend traditional statistical methods for use with spatial data.The book assumes basic mat...Loe edasi...
Geospatial information modeling and mapping has become an important tool for the investigation and management of natural resources at the landscape scale. Spatial Statistics: GeoSpatial Information Modeling and Thematic Mapping re...Loe edasi...
The guidance and special techniques provided in this handbook will allow you to understand and use complex spatial statistical techniques. You will learn how to apply proper spatial analysis techniques and why they are generally different from conven...Loe edasi...
Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Now in its fifth edition, this text is an accessible st...Loe edasi...
Statistical Methods for Geography is the essential introduction for geography students looking to fully understand and apply key statistical concepts and techniques. Statistical Methods for Geog...Loe edasi...
