Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The book provides a foundation for learning how to solve a wide range of geographic data analysis problems in a reproducible, an...Loe edasi...
Geocomputation with R is for people who want to analyze, visualize, and model geographic data with open source software. The second edition features numerous updates, including the adoption of the high-performance terra package for all rast...Loe edasi...
Geospatial data acquisition and analysis techniques have experienced tremendous growth in the last few years, providing an opportunity to solve previously unsolved environmental- and natural resource-related problems. However, a variety of challen...Loe edasi...
Swapan Talukdar, Atiqur Rahman, Somnath Bera, G. V. Ramana, Atish Prashar
Sari: GIScience and Geo-environmental Modelling
(Ilmumisaeg: 07-Sep-2024, Hardback, Kirjastus: Springer International Publishing AG, ISBN-13: 9783031624414)
This book provides huge knowledge and data in the fields of geospatial sciences, earth environmental sciences, humanities, and social sciences, which target a diverse range of readers, such as academics, scientists, students, environmentalists, me...Loe edasi...
The integration of geology with data science disciplines, such as spatial statistics, remote sensing, and geographic information systems (GIS), has given rise to a shift in many schools, pushing the boundaries of knowledge and enabling new discove...Loe edasi...
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. This book is the second in a two-volume series that introduc...Loe edasi...
This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure data exploration to the organization of observations into meaningful groups, i.e., spatial clustering. This constitutes an impor...Loe edasi...
This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians and practitioners in the applied sciences. By avoiding hardcore math and calculus, this book aims to be a...Loe edasi...
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 wide...Loe edasi...
With approachable explanations and uncomplicated drawings, Spatial Statistics Illustrated gives readers an accessible understanding of some of the most widely used ArcGIS spatial statistics tools. Spatial statistics...Loe edasi...
This book is based on the authors’ extensive involvement in Synthetic Aperture Radar (SAR) mapping projects, targeting the health of an earth ecosystem with great relevance for climate change studies: the tropical forests. The subject is developed...Loe edasi...
Geospatial data acquisition and analysis techniques have grown tremendously, providing an opportunity to solve environmental and natural resource related problems. Despite the challenges encountered in processing highly voluminous geospatial data in...Loe edasi...
Spatial Data Science is a book for data scientists with intermediate R knowledge. The book gives a detailed explanation of the core spatial software packages for R: sf for simple feature access, and stars for raster and vect...Loe edasi...
Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (ag...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...
How to apply spatial models using R to a wide range of data used in political science. Models are similar to multidimensional scaling models long used in Psychology and MDS models overage. Aimed at graduate students and researchers with basic knowled...Loe edasi...
Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, prope...Loe edasi...
This book is designed to make spatio-temporal modeling and analysis understandable to students and researchers, mathematicians and statisticians and practitioners in the applied sciences. By avoiding hardcore math and calculus, this book aims to b...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...
