"The methods and techniques presented in this book are focused on spatial data and its use in monitoring agricultural resources, farms management, and regional markets. The authors introduce spatial econometrics models for the different data types relevant to the statistical uni…
"25" Result
Sort By:
"The methods and techniques presented in this book are focused on spatial data and its use in monitoring agricultural resources, farms management, and regional markets. The authors introduce spatial econometrics models for the different data types relevant to the statistical uni…
"The methods and techniques presented in this book are focused on spatial data and its use in monitoring agricultural resources, farms management, and regional markets. The authors introduce spatial econometrics models for the different data types relevant to the statistical uni…
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 land is a key resource in agricu…
"Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful…
"Managing spatial data has always been challenging and it's getting more complex as the size of data increases. Spatial data is actually big data and you need different tools and techniques to work your way around to model and create different workflows. R and QGIS have powerful…
This textbook provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. The book is written terms of the analysis of four data sets, two from ecology and two from agriculture.
"A severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? Th…
"The objective of this book is to make a link between existing quantitative approaches ... and the manner in which we can generalize thess approaches to cases where the available data for analysis have a spatial dimension."
This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.Particular emphasis is put on spatial data compilation and the structuring of the connections between the observations. Descriptive analysis methods of spatial data are presen…
"The objective of this book is to make a link between existing quantitative approaches ... and the manner in which we can generalize thess approaches to cases where the available data for analysis have a spatial dimension."--
"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical informa…
"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical informa…
"R is a powerful open-source computing tool that supports geographical analysis and mapping. For geographers and 'non-geographers' alike, this text provides an introduction to the use of R for spatial statistical analysis, geocomputation, and the analysis of geographical informa…