GIS Algorithms

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SAGE, 09/11/2015 - 336 páginas
Geographic information systems (GIS) have become increasingly important in helping us understand complex social, economic, and natural dynamics where spatial components play a key role. The critical algorithms used in GIS, however, are notoriously difficult to both teach and understand, in part due to the lack of a coherent representation. GIS Algorithms attempts to address this problem by combining rigorous formal language with example case studies and student exercises.

Using Python code throughout, Xiao breaks the subject down into three fundamental areas:
  • Geometric Algorithms
  • Spatial Indexing
  • Spatial Analysis and Modelling
With its comprehensive coverage of the many algorithms involved, GIS Algorithms is a key new textbook in this complex and critical area of geography.
 

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Índice

CHAPTER 1 INTRODUCTION
1
PART I GEOMETRIC ALGORITHMS
9
CHAPTER 2 BASIC GEOMETRIC OPERATIONS
11
CHAPTER 3 POLYGON OVERLAY
49
PART II SPATIAL INDEXING
69
CHAPTER 4 INDEXING
71
CHAPTER 5 KD TREES
77
CHAPTER 6 QUADTREES
99
CHAPTER 9 SPATIAL PATTERN AND ANALYSIS
177
CHAPTER 10 NETWORK ANALYSIS
211
CHAPTER 11 SPATIAL OPTIMIZATION
228
CHAPTER 12 HEURISTIC SEARCH ALGORITHMS
251
POSTSCRIPT
275
A PRIMER
277
APPENDIX B GDALOGR AND PYSAL
291
APPENDIX C CODE LIST
303

CHAPTER 7 INDEXING LINES AND POLYGONS
112
PART III SPATIAL ANALYSIS AND MODELING
137
CHAPTER 8 INTERPOLATION
139

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Acerca do autor (2015)

Ningchuan Xiao is Associate Professor of Geography at the Ohio State University. He has taught a wide ranges of courses in GIS, spatial analysis, and cartography. His research focuses on the development of effective computational methods in spatial and temporal data handling.

Informação bibliográfica