GIS fundamentals:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Boca Raton [u.a.]
CRC Press
2014
|
| Edition: | 2. ed. |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Item Description: | "Aimed at readers with a knowledge of Geographic Information Systems (GIS) but no formal training in computer science, this book provides a clear and accessible introduction to how GIS store and process spatial data. This updated edition includes two new chapters on databases and future developments, substantial additional material on raster imagery, and revisions throughout that incorporate up-to-date applications such as GPS on mobile devices and Internet-based services. The chapter on future technologies includes discussions of 3D GIS, handling time in GIS, spatial SQL, and handling imprecise geographies"-- Provided by publisher. Includes bibliographical references and index |
| Physical Description: | XV, 322 S. Ill., graph. Darst. |
| ISBN: | 9781439886953 |
Staff View
MARC
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| 500 | |a Includes bibliographical references and index | ||
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Record in the Search Index
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| adam_text | Titel: GIS fundamentals
Autor: Wise, Stephen
Jahr: 2014
Contents
Preface......................................................................................................................ix
Acknowledgements............................................................................................xiii
Author.....................................................................................................................xv
1. Introduction.....................................................................................................1
1.1 How Computers Solve Problems........................................................2
1.2 How Computers Represent the World: Data Modelling.................5
1.3 The Structure of a Computer.............................................................10
1.4 Pseudocode and Computer Programming.....................................15
Further Reading.............................................................................................21
2. Databases........................................................................................................23
2.1 What Are Databases and Why Are They Important?....................23
2.2 Relational Database............................................................................29
2.3 Storing Spatial Data in a Relational Database................................32
2.4 Solutions to the Problems of Storing Spatial Data in RDBMS......35
Further Reading.............................................................................................37
3. Vector Data Structures.................................................................................39
3.1 Simple Storage of Vector Data...........................................................39
3.2 Topological Storage of Vector Data...................................................49
3.3 So What Is Topology?.........................................................................54
3.4 And How Does It Help? The Example of DIME.............................57
3.5 More on Topological Data Structures..............................................60
3.6 And a Return to Simple Data Structures.........................................64
Further Reading.............................................................................................67
4. Vector Algorithms for Lines.......................................................................69
4.1 Simple Line Intersection Algorithm.................................................69
4.2 Why the Simple Line Intersection Algorithm Would
Not Work: A Better Algorithm..........................................................74
4.3 Dealing with Wiggly Lines................................................................78
4.4 Calculations on Lines: How Long Is a Piece of String?.................81
4.5 Line Intersection: How It Is Really Done.........................................84
Further Reading.............................................................................................93
5. Vector Algorithms for Areas......................................................................95
5.1 Calculations on Areas: Single Polygons...........................................95
5.2 Calculations on Areas: Multiple Polygons......................................98
5.3 Point in Polygon: Simple Algorithm...............................................101
5.4 ... and Back to Topology for a Better Algorithm.........................105
Further Reading...........................................................................................108
6. The Efficiency of Algorithms...................................................................109
6.1 How Is Algorithm Efficiency Measured?......................................109
6.2 Efficiency of the Line Intersection Algorithm..............................112
6.3 More on Algorithm Efficiency.........................................................114
Further Reading...........................................................................................116
7. Raster Data Structures...............................................................................119
7.1 Raster Data in Databases.................................................................120
7.2 Raster Data Structures: The Array.................................................123
7.3 Saving Space: Run Length Encoding and Quadtrees..................127
7.4 Data Structures for Images..............................................................132
Further Reading...........................................................................................139
8. Raster Algorithms......................................................................................141
8.1 Raster Algorithms: Attribute Query for Run
Length Encoded Data.......................................................................141
8.2 Raster Algorithms: Attribute Query for Quadtrees.....................144
8.3 Raster Algorithms: Area Calculations...........................................153
Further Reading...........................................................................................159
9. Data Structures for Surfaces....................................................................161
9.1 Data Models for Surfaces.................................................................162
9.2 Algorithms for Creating Grid Surface Models.............................166
9.3 Algorithms for Creating a Triangulated Irregular Network......174
9.4 Grid Creation Revisited....................................................................180
Further Reading...........................................................................................183
10. Algorithms for Surfaces............................................................................185
10.1 Elevation, Slope and Aspect............................................................185
10.2 Hydrological Analysis Using a TIN...............................................192
10.3 Determining Flow Direction Using a Gridded DEM..................195
10.4 Using the Flow Directions for Hydrological Analysis................199
Further Reading...........................................................................................205
11. Data Structures and Algorithms for Networks....................................207
11.1 Networks in Vector and Raster.......................................................207
11.2 Shortest Path Algorithm...................................................................209
11.3 Data Structures for Network Data..................................................216
11.4 Faster Algorithms for Finding the Shortest Route.......................225
Further Reading...........................................................................................234
12. Strategies for Efficient Data Access........................................................235
12.1 Tree Data Structures.........................................................................238
12.2 Indexing and Storing 2D Data Using Both Coordinates.............244
12.3 Space-Filling Curves for Spatial Data............................................250
12.4 Spatial Filling Curves and Data Clustering..................................252
12.5 Space-Filling Curves for Indexing Spatial Data...........................255
12.6 Caching...............................................................................................265
Further Reading...........................................................................................269
13. Heuristics for Spatial Data.......................................................................271
13.1 Travelling Salesman Problem..........................................................272
13.2 Location Allocation...........................................................................277
13.3 Metaheuristics...................................................................................283
13.4 Computability and Decidability.....................................................288
Further Reading...........................................................................................293
Conclusion...........................................................................................................295
Glossary...............................................................................................................297
References...........................................................................................................305
Index.....................................................................................................................313
|
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| discipline | Geographie |
| edition | 2. ed. |
| format | Book |
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| isbn | 9781439886953 |
| language | English |
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| physical | XV, 322 S. Ill., graph. Darst. |
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| spelling | Wise, Stephen Verfasser aut GIS fundamentals Stephen Wise 2. ed. Boca Raton [u.a.] CRC Press 2014 XV, 322 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier "Aimed at readers with a knowledge of Geographic Information Systems (GIS) but no formal training in computer science, this book provides a clear and accessible introduction to how GIS store and process spatial data. This updated edition includes two new chapters on databases and future developments, substantial additional material on raster imagery, and revisions throughout that incorporate up-to-date applications such as GPS on mobile devices and Internet-based services. The chapter on future technologies includes discussions of 3D GIS, handling time in GIS, spatial SQL, and handling imprecise geographies"-- Provided by publisher. Includes bibliographical references and index Geographic information systems Geospatial data TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems bisacsh Geoinformationssystem (DE-588)4261642-6 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Geoinformationssystem (DE-588)4261642-6 s DE-604 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026170215&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Wise, Stephen GIS fundamentals Geographic information systems Geospatial data TECHNOLOGY & ENGINEERING / Remote Sensing & Geographic Information Systems bisacsh Geoinformationssystem (DE-588)4261642-6 gnd |
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| title | GIS fundamentals |
| title_auth | GIS fundamentals |
| title_exact_search | GIS fundamentals |
| title_full | GIS fundamentals Stephen Wise |
| title_fullStr | GIS fundamentals Stephen Wise |
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| title_short | GIS fundamentals |
| title_sort | gis fundamentals |
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