Andere Kunden interessierten sich auch für
![Statistical Inference for Spatial Processes]( "Statistical Inference for Spatial Processes")
Statistical Inference for Spatial Processes52,99 €![Categorical Data Analysis for Geographers and Environmental Scientists]( "Categorical Data Analysis for Geographers and Environmental Scientists")
Categorical Data Analysis for Geographers and Environmental Scientists77,99 €![Spatial Econometric Methods in Agricultural Economics Using R]( "Spatial Econometric Methods in Agricultural Economics Using R")
Spatial Econometric Methods in Agricultural Economics Using R61,99 €![Estimation and Prediction for Certain Models of Spatial Time Series]( "Estimation and Prediction for Certain Models of Spatial Time Series")
Estimation and Prediction for Certain Models of Spatial Time Series71,99 €![From Experimental Network to Meta-Analysis: Methodas & Applications with R for Agronomic & Environmental Sciences]( "From Experimental Network to Meta-Analysis: Methodas & Applications with R for Agronomic & Environmental Sciences")
From Experimental Network to Meta-Analysis: Methodas & Applications with R for Agronomic & Environmental Sciences132,99 €![A User's Guide to the Gottman-Williams Time-Series Analysis Computer Programs for Social Scientists]( "A User's Guide to the Gottman-Williams Time-Series Analysis Computer Programs for Social Scientists")
A User's Guide to the Gottman-Williams Time-Series Analysis Computer Programs for Social Scientists45,99 €![Applied Factor Analysis in the Natural Sciences]( "Applied Factor Analysis in the Natural Sciences")
Applied Factor Analysis in the Natural Sciences50,99 €
Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.