Read online ebook Spatial Statistics in Ecology and Agriculture Using R and Geoda (2012, Hardcover) by in DOC, MOBI, EPUB
9781439819135 English 1439819130 Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author's spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data., This book 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. These data sets are available online. It guides readers through the analysis of each of these data sets, including setting the research objective, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. All of the R code described in the book is made available online.
9781439819135 English 1439819130 Assuming no prior knowledge of R, Spatial Data Analysis in Ecology and Agriculture Using R provides practical instruction on the use of the R programming language to analyze spatial data arising from research in ecology and agriculture. Written in terms of four data sets easily accessible online, this book guides the reader through the analysis of each data set, including setting research objectives, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. Based on the author's spatial data analysis course at the University of California, Davis, the book is intended for classroom use or self-study by graduate students and researchers in ecology, geography, and agricultural science with an interest in the analysis of spatial data., This book 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. These data sets are available online. It guides readers through the analysis of each of these data sets, including setting the research objective, designing the sampling plan, data quality control, exploratory and confirmatory data analysis, and drawing scientific conclusions. All of the R code described in the book is made available online.