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Key features: Unique in its combination of serving as an
introduction to spatial statistics and to modeling agricultural and
ecological data using R Provides exercises in each chapter to
facilitate the book's use as a course textbook or for self-study
Adds new material on generalized additive models, point pattern
analysis, and new methods of Bayesian analysis of spatial data.
Includes a completely revised chapter on the analysis of
spatiotemporal data featuring recently introduced software and
methods Updates its coverage of R software including newly
introduced packages Spatial Data Analysis in Ecology and
Agriculture Using R, 2nd Edition provides practical instruction on
the use of the R programming language to analyze spatial data
arising from research in ecology, agriculture, and environmental
science. Readers have praised the book's practical coverage of
spatial statistics, real-world examples, and user-friendly approach
in presenting and explaining R code, aspects maintained in this
update. Using data sets from cultivated and uncultivated
ecosystems, the 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. Additional
material to accompany the book, on both analyzing satellite data
and on multivariate analysis, can be accessed at
https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
Key features: Unique in its combination of serving as an
introduction to spatial statistics and to modeling agricultural and
ecological data using R Provides exercises in each chapter to
facilitate the book's use as a course textbook or for self-study
Adds new material on generalized additive models, point pattern
analysis, and new methods of Bayesian analysis of spatial data.
Includes a completely revised chapter on the analysis of
spatiotemporal data featuring recently introduced software and
methods Updates its coverage of R software including newly
introduced packages Spatial Data Analysis in Ecology and
Agriculture Using R, 2nd Edition provides practical instruction on
the use of the R programming language to analyze spatial data
arising from research in ecology, agriculture, and environmental
science. Readers have praised the book's practical coverage of
spatial statistics, real-world examples, and user-friendly approach
in presenting and explaining R code, aspects maintained in this
update. Using data sets from cultivated and uncultivated
ecosystems, the 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. Additional
material to accompany the book, on both analyzing satellite data
and on multivariate analysis, can be accessed at
https://www.plantsciences.ucdavis.edu/plant/additionaltopics.htm.
These are the proceedings of an Advanced Research Workshop (ARW),
sponsored by the NATO Science Panel, entitled "Pest Control:
Operations and Systems Analysis in Fruit Fly Management." The ARW
was held in Bad Windsheim, Germany during the week of 5 August
1985. The purpose of the ARW was to bring together scientists who
are interested in fruit fly problems, but who usually do not have
an opportunity to speak with each other, for an intense week of
interdisciplinary collaboration. In particular, the group present
at the ARW contained a mix of biologists, field ecologists,
mathematical modellers, operational program managers, economists
and social scientists. Each group has its own professional meetings
at which fruit fly problems are discussed, but the point of the ARW
was to learn about the problem from the perspective of other
fields, which are equally important for the ultimate management of
the fruit fly problems. (A list of attendees follows this preface.
) It appears that the ARW successfully met its objective of
bringing together a group for interdisciplinary considerations of
the problems; I hope that the proceedings do as well. The ARW was
structured with formal lectures in the mornings and workshops in
the afternoons. For the morning lectures, four different topics
were chosen: 1) basic biology and ecology, 2) trapping and
detection, 3) control and eradication, and 4) policy issues. Each
morning, one lecture from each area was presented.
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