Wiley, 2002.- 444 p. ISBN 9780471211761. First and foremost, this is a geography book! We assume that readers have a basic grounding in statistics, but to be on the safe side we have included a similar appendix outlining the major statistical ideas on which we draw, and similar comments apply.
Чтобы скачать этот файл зарегистрируйтесь и/или войдите на сайт используя форму сверху.
John Wiley & Sons, Inc., 2009. – 314 pages.
Location theory is rooted in the disciplines of geography, engineering, mathematics, and economics. The science of ‘‘where should it be’’ is truly multidisciplinary and continues to be of interest to practitioners and researchers alike representing a variety of fields, ranging from business to operations research to computer science. We...
A textbook for graduate students of electrical and computer engineering, civil engineering, agronomy, forestry, agricultural engineering, and related fields. The focus is on analyzing multispectral and hyperspectral data optimally. Several pages of color graphics are included. The disk contains a software system compatible with Macintosh and Windows, and several example data sets....
Springer, 2005. — 275 p. This book is then focused in the technologies and methodologies that can provide a better utilization of metadata within spatial data infrastructures. In particular, this book will be centered on three main problems that hinder the correct utilization of metadata: The high volumes of geographic resources and the difficulty of cataloguing them correctly....
Springer, 1997. — 297 p. This volume aims to bring together the two lines of research whose interaction promises to have significant practical impact in the near future: the application-oriented discipline of Geographic Information Systems (GIS) and the technical discipline of geometric computation, or in particular, geometric algorithms and spatial data structures. GIS are...
ESRI. 2000
Книга содержит следующие разделы: введение в ГИС анализ; анализ местоположения объектов; Анализ распределения числовых показателей; карты плотности; поиск объектов внутри области; анализ окружения; анализ пространственных изменений
