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E-raamat: Geographic Information Systems for Geoscientists: Modelling with GIS

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This valuable reference book is unique in its coverage of examples from the geological sciences, many centred on applications to mineral exploration. The underlying principles of GIS are stressed and emphasis is placed on the analysis and modelling of spatial data with applications to site selection and potential mapping. The book commences with a definition of GIS and describes a case study of mapping mineral potential. The ways in which spatial data are organized with models (raster, vector, relational) are discussed and data structures, such as quadtrees and topological structures are introduced. Data input including digitizing, geographic projections and conversions is covered together with output (visualization, representation of colour and spatial query). Spatial data transformations are dealt with thoroughly and attention is paid to map analysis and modelling as related to single maps, map pairs and multiple maps respectively. Methods of quantifying the associations between pairs of maps are emphasized. Finally, examples of landfill site selection and mineral potential mapping illustrate the application of map algebra for combining maps and tables with models, employing Boolean logic, index weighting, fuzzy logic and probability methods such as weights of evidence. There is an extensive glossary of terms, and references accompany each chapter. It contains 40 pages of colour illustrations.

Arvustused

W.C. Peters, University of Arizona Highly recommended for college libraries serving students in earth science, civil engineering, and geography. Upper-division undergraduate through professional. Choice S.J.D. Cox ...first text book on GIS directed specifically at geoscientists...an effective...introduction to GIS...will...bring explorationists up to speed on quantitative methods for mineral potential evaluation and the assistance they might get from the powerful new technology of GIS. Economic Geology ...should serve well as a textbook for GIS courses and as a reference volume for practising geoscience professionals. AMF Reviews C. Peter Keller This book is a 'must have' on the bookshelf of any geoscientist interested in digital spatial data analysis. Computers & Geosciences T.V. Loudon The book is a worthy addition to the valuable series...can be seen as required reading for many mineral explorationists, a comprehensive review of GIS concepts, a text for GIS courses, and a useful reference source in any geoscience library. Episodes R.S. Shiel For those who have never used GIS before, this text provides a readable account in a related field. It is not overly mathematical, and will appeal to those who do not wish to read the more technical texts in soil science. European Journal of Soil Science

Foreword xi
Preface xiii
Introduction to GIS
1(24)
What is GIS?
1(2)
Purpose of GIS
3(3)
Organization
3(1)
Visualization
3(1)
Spatial Query
4(1)
Combination
5(1)
Analysis
5(1)
Prediction
6(1)
GIS and Related Computer Software
6(4)
Computer Aided Drawing
7(1)
Image Processing Systems
8(1)
3-D GIS
8(1)
Database Management Systems
9(1)
Desktop Mapping Systems
9(1)
Contouring and Surface Mapping Packages
9(1)
Geostatistics Programs
10(1)
Mathematical Morphology Programs
10(1)
Other Software
10(1)
Custodial Versus Project-related GIS
10(1)
Geological Application of GIS
11(12)
Mineral Potential Mapping
12(11)
References
23(2)
Spatial Data Models
25(26)
Introduction
25(2)
Spatial Objects
27(5)
Sampling-limited Spatial Objects
29(1)
Definition-limited Spatial Objects
29(1)
Irregular Imposed Spatial Objects
30(1)
Regular Imposed Spatial Objects
30(2)
Raster and Vector Spatial Data Models
32(7)
Raster Model
33(1)
Vector Model
33(6)
Attribute Data
39(4)
Spatial Attributes
39(1)
Nonspatial Attributes
40(1)
Measurement Scales
41(2)
Attribute Tables
43(1)
The Relational Model
43(7)
References
50(1)
Spatial Data Structures
51(32)
Introduction
51(1)
Raster Structures
52(16)
Full Raster Structure
53(1)
Attribute Classification
54(1)
Run-length Encoding
55(2)
Scan Order for Rasters
57(5)
Region Quadtrees and Octrees
62(4)
Lines and Points in Raster
66(2)
Vector Data Structures
68(13)
Spaghetti Structure
68(3)
Topological Data Structures
71(7)
Vector Structures for Surfaces
78(3)
References
81(2)
Spatial Data Input
83(28)
Introduction
83(1)
Data Sources
83(4)
Primary Data
84(1)
Secondary Data
85(2)
Map Projections
87(8)
Geographic Coordinates
87(1)
Plane Coordinates
88(1)
Geometric Distortions
88(1)
Figure of the Earth
89(1)
Developable Surfaces
90(5)
Digitizing
95(8)
Manual Digitizing
95(6)
Raster Scanning
101(2)
Coordinate Conversion
103(6)
Vector Conversion
103(4)
Raster Conversion
107(2)
References
109(2)
Visualization and Query of Spatial Data
111(28)
Introduction
111(1)
Display of Cartographic Images
112(6)
Components of a Cartographic Image
113(4)
Resolution, Scale and Metafiles
117(1)
Display Hardware for Digital Images
118(2)
Colour
120(9)
Colour Lookup Tables
125(1)
Hardcopy Devices
126(3)
Visualization of Surfaces
129(3)
Dynamically-linked Data Views
132(2)
Spatial Query
134(3)
Query by Spatial Attributes
135(2)
Query by Nonspatial Attributes
137(1)
References
137(2)
Spatial Data Transformations
139(38)
Introduction
139(2)
Point-to-area Conversions
141(18)
Density Mapping
143(1)
Methods for Point Samples
144(15)
Dilation of Spatial Objects
159(8)
Dilating Linear Features
162(2)
Mathematical Morphology Operations
164(3)
Sampling Transformations
167(8)
Areas-to-Points
168(3)
Area-to-Area
171(3)
Raster-to-Vector-to-Raster
174(1)
References
175(2)
Tools for Map Analysis: Single Maps
177(44)
Introduction
177(9)
Examples of Applying Analytical Operations to Single Maps
178(1)
Data Analysis and Modelling
179(7)
Map Reclassification
186(10)
Classification Tables Using Breakpoints
192(4)
Operations on Attribute Tables
196(2)
Adding New Fields
196(2)
Spatial, Topological, and Geometrical Modelling
198(6)
Aggregation Operations on Tables
202(2)
Operations on Spatial Neighbourhoods
204(8)
Smoothing or Low-pass Filters
207(1)
High-pass Filters for Edge Detection
207(1)
Directional Filters
208(1)
Hill Shading
209(1)
Texture Filters
210(2)
Join-Count Statistics
212(7)
References
219(2)
Tools for Map Analysis: Map Pairs
221(46)
Introduction
221(2)
Two-map Overlays and Map Modelling
223(15)
Map Modelling with Attribute Tables
231(6)
Map Overlays and Overlay Tables
237(1)
Correlation Between Two Maps
238(24)
Area Cross-Tabulations
241(2)
Nominal Scale Data
243(5)
Binary Maps
248(10)
Interval and Ratio Scale Maps
258(1)
Ordinal Scale Data
258(4)
Other Topics
262(2)
Summary
264(1)
References
264(3)
Tools for Map Analysis: Multiple Maps
267(72)
Introduction
267(5)
Types of Models
267(3)
Modelling with GIS
270(1)
Interchange of Map Data Files with External Software
270(1)
Modelling Applications
271(1)
Boolean Logic Models
272(13)
Landfill Site Selection
272(4)
Mineral Potential Evaluation
276(9)
Index Overlay Models
285(6)
Binary Evidence Maps
285(2)
Index Overlay with Multi-Class Maps
287(4)
Comments on Index Overlays
291(1)
Fuzzy Logic Method
291(11)
Combining Fuzzy Membership Functions
295(5)
Comments on the Fuzzy Logic Method
300(2)
Bayesian Methods
302(31)
Favourability and Conditional Probability
304(2)
Odds Formulation
306(3)
Combining Datasets
309(2)
Numerical Example
311(1)
Conditional Independence
312(5)
Application of Weights of Evidence to Mineral Potential Mapping
317(11)
Discussion of Weights of Evidence
328(1)
Prospector Model
329(4)
Summary
333(1)
References
334(5)
Appendix I - Syntax for Modelling Pseudocode 339(2)
Appendix II - Fortran Program for Calculating Weights of Evidence 341(4)
Appendix III - Glossary of GIS Terms 345(42)
Appendix IV - GIS Acronyms 387(4)
Index 391