Computer Applications in Geography

ISBN-13: 9780471926153 / Angielski / Miękka / 1991 / 270 str.

Paul M. Mather

Opis

It is in the context of the view of geography as spatial information technology that this book is written. It is intended for students of geography at undergraduate level who wish to familiarise themselves with the terminology of computers and to read about ways in which computers are presently being used in goegraphy. It assumes no prior knowledge of computers and no mathematical skills beyond those possessed by the average layman. The reader is warned that this is not a handbook for researchers, who should be capable of going direct to the primary literature. Specialists in particular areas of geography may find this approach over-simple.

Spis treści

Computers and Geographical Data.
Statistical Methods.
Computers in Cartography.
Remote Sensing.
Simulation.
Geographical Information Systems.
Appendices.
References.
Index.

Blurb

Computer Applications in Geography Paul M. Mather Department of Geography, University of Nottingham, England Geography graduates are expected to be computer literate, yet the literature on computing is often inaccessible to them. This book is intended for undergraduate students of geography who wish to familiarise themselves with the terminology of computers and to read about the ways in which computers are presently being used in geography. It assumes no prior knowledge of computers and no mathematical skills beyond those possessed by the average layman. The first two chapters form a technical introduction to computers and data. The remaining five chapters are devoted to individual topics representing a selection of the main areas of computer use in geography and show how computers can be used to acquire, process and display geographical data. Worked examples, with example data sets, are given for three program packages that are widely used by geographers SPSS, SYMAP and GIMMS. The book is comprehensive in its coverage of the major areas of computer applications and will be of interest to geographers dealing with statistics, digital cartography, remote sensing, geographical information systems and simulation models.