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Geospatial analysis: a comprehensive guide to principles, techniques and software tools

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Bibliographische Detailangaben
Beteiligte Personen:	De Smith, Michael J. (VerfasserIn), Goodchild, Michael F. 1944- (VerfasserIn), Longley, Paul A. 1969- (VerfasserIn)
Format:	Buch
Sprache:	Englisch
Veröffentlicht:	Leicester Matador 2009
Ausgabe:	3. ed.
Schlagwörter:	Geoinformatik Geoinformationssystem Regionalanalyse
Links:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020326696&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Beschreibung:	Previous ed.: 2007. - Includes bibliographical references and index. - Issue version: 3.11
Umfang:	560 S. Ill., graph. Darst., Kt.
ISBN:	9781848761582 9781848761575 1848761570

Internformat

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Datensatz im Suchindex

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adam_text	Contents, figures and tables Copyright and licensing information ..................................... ii Contents, figures and tables ................................................ v Foreword to the Third Edition ..........................................xix Acknowledgements ........................................................xxi 1 Introduction and terminology ........................................23 1.1 Motivation and Media ............................................................................23 1.1.1 Guide overview ..............................................................................23 1.1.2 Spatial analysis, GIS and software tools .................................................25 1.1.3 Intended audience and scope ..............................................................29 1.2 Software tools and Companion Materials ....................................................31 1.2.1 GIS and related software tools ............................................................31 1.2.1.1 Sample software products ..............................................................32 1.2.1.2 Software performance ...................................................................32 1.2.2 Suggested reading ...........................................................................33 1.3 Termi nology and Abbreviations ...............................................................36 1.3.1 Definitions ....................................................................................36 1.4 Common Measures and Notation ..............................................................43 1.4.1 Notation .......................................................................................43 1.4.2 Statistical measures and related formulas ..............................................45 1.4.2.1 Counts and specific values ..............................................................45 1.4.2.2 Measures of centrality ...................................................................46 1.4.2.3 Measures of spread .......................................................................47 1.4.2.4 Measures of distribution shape .........................................................50 1.4.2.5 Measures of complexity and dimensionality .........................................50 1.4.2.6 Common distributions ...................................................................51 1.4.2.7 Data transforms and back transforms .................................................52 1.4.2.8 Selected functions .......................................................................53 1.4.2.9 Matrix expressions ........................................................................54 2 Conceptual Frameworks for Spatial Analysis .....................57 2.1 The geospatial perspective .....................................................................57 2.2 Basic Primitives ...................................................................................58 2.2.1 Place ...........................................................................................58 2.2.2 Attributes .....................................................................................59 2.2.3 Objects ........................................................................................61 2.2.4 Maps ...........................................................................................62 2.2.5 Multiple properties of places ..............................................................63 2.2.6 Fields ..........................................................................................64 2.2.7 Networks ......................................................................................65 2.2.8 Density estimation ...........................................................................65 2.2.9 Detail, resolution, and scale ...............................................................65 2.2.10 Topology ......................................................................................66 2.3 Spatial Relationships .............................................................................68 2.3.1 Co-location ...................................................................................68 2.3.2 Distance, direction and spatial weights matrices ......................................68 © GEOSPATIAL ANALYSIS 2.3.3 Multidimensional scaling ...................................................................70 2.3.4 Spatial context ...............................................................................70 2.3.5 Neighborhood ................................................................................70 2.3.6 Spatial heterogeneity .......................................................................71 2.3.7 Spatial dependence .........................................................................71 2.3.8 Spatial sampling .............................................................................72 2.3.9 Spatial interpolation ........................................................................72 2.3.10 Smoothing and sharpening .................................................................73 2.3.11 First- and second-order processes ........................................................73 2.4 Spatial Statistics ..................................................................................75 2.4.1 Spatial probability ...........................................................................75 2.4.2 Probability density ..........................................................................75 2.4.3 Uncertainty ...................................................................................75 2.4.4 Statistical inference .........................................................................76 2.5 Spatial Data Infrastructure .....................................................................78 2.5.1 Geoportals ....................................................................................78 2.5.2 Metadata ......................................................................................79 2.5.3 Interoperability ..............................................................................79 2.5.4 Conclusion ....................................................................................79 3 Methodological Context ...............................................81 3.1 Spatial analysis as a process ...................................................................81 3.2 Analytical methodologies .......................................................................83 3.3 Spatial analysis and the PPDAC model .......................................................87 3.3.1 Problem: Framing the question ...........................................................88 3.3.2 Plan: Formulating the approach ...........................................................90 3.3.3 Data: Data acquisition ......................................................................91 3.3.4 Analysis: Analytical methods and tools ..................................................93 3.3.5 Conclusions: Delivering the results .......................................................95 3.4 Geospatial analysis and model building ......................................................96 3.5 The changing context of GIScience ..........................................................102 4 Building Blocks of Spatial Analysis ................................105 4.1 Spatial Data Models and Methods ............................................................105 4.2 Geometric and Related Operations ..........................................................107 4.2.1 Length and area for vector data ........................................................107 4.2.2 Length and area for raster datasets ....................................................109 4.2.3 Surface area ................................................................................111 4.2.3.1 Projected surfaces .....................................................................111 4.2.3.2 Terrestrial (unprojected) surface area .............................................113 4.2.4 Line Smoothing and point-weeding .....................................................114 4.2.5 Centroids and centers .....................................................................116 4.2.5.1 Polygon centroids and centers .......................................................116 4.2.5.2 Point sets ................................................................................119 4.2.5.3 Lines ......................................................................................121 4.2.6 Point (object) in polygon (PIP) ..........................................................121 4.2.7 Polygon decomposition ...................................................................123 4.2.8 Shape ........................................................................................124 4.2.9 Overlay and combination operations ...................................................125 4.2.10 Areal interpolation ........................................................................128 4.2.11 Districting and re-districting .............................................................130 4.2.12 Classification and clustering .............................................................135 4.2.12.1 Univariate classification schemes ...................................................135 © GEOSPATIAL ANALYSIS 4.2.12.2 Multivariate classification and clustering ..........................................138 4.2.12.3 Multi-band image classification ......................................................140 4.2.12.4 Uncertainty and image processing ...................................................145 4.2.12.5 Hyperspectral image classification ..................................................146 4.2.13 Boundaries and zone membership ......................................................149 4.2.13.1 Convex hulls ............................................................................. 149 4.2.13.2 Non-convex hulls .......................................................................150 4.2.13.3 Minimum Bounding Rectangles (MBRs) ..............................................152 4.2.13.4 Fuzzy boundaries .......................................................................153 4.2.13.5 Breaklines and natural boundaries ..................................................156 4.2.14 Tessellations and triangulations .........................................................157 4.2.14.1 Delaunay Triangulation ................................................................157 4.2.14.2 TINs - Triangulated irregular networks ............................................158 4.2.14.3 Voronoi/Thiessen polygons ...........................................................159 4.3 Queries, Computations and Density .........................................................163 4.3.1 Spatial selection and spatial queries ...................................................163 4.3.2 Simple calculations ........................................................................163 4.3.3 Ratios, indices, normalization, standardization and rate smoothing ..............166 4.3.4 Density, kernels and occupancy .........................................................171 4.3.4.1 Point density ............................................................................171 4.3.4.2 Kernel density for networks ..........................................................178 4.3.4.3 Line and intersection densities ......................................................179 4.3.4.4 Cartograms ..............................................................................179 4.4 Distance Operations ............................................................................184 4.4.1 Metrics .......................................................................................186 4.4.1.1 Introduction .............................................................................186 4.4.1.2 Terrestrial distances ...................................................................187 4.4.1.3 Extended Euclidean and Lp-metric distances ......................................188 4.4.2 Cost distance ...............................................................................190 4.4.2.1 Accumulated cost surfaces and least cost paths ..................................191 4.4.2.2 Distance transforms ....................................................................196 4.4.3 Network distance ..........................................................................202 4.4.4 Buffering ....................................................................................203 4.4.4.1 Vector buffering ........................................................................203 4.4.4.2 Raster buffering ........................................................................205 4.4.4.3 Hybrid buffering ........................................................................205 4.4.4.4 Network buffering ......................................................................205 4.4.5 Distance decay models ...................................................................205 4.5 Directional Operations .........................................................................210 4.5.1 Directional analysis - overview .........................................................210 4.5.2 Directional analysis of linear datasets .................................................210 4.5.3 Directional analysis of point datasets ..................................................215 4.5.4 Directional analysis of surfaces .........................................................217 4.6 Grid Operations and Map Algebra ............................................................219 4.6.1 Operations on single and multiple grids ...............................................219 4.6.2 Linear spatial filtering ....................................................................220 4.6.3 Non-linear spatial filtering ...............................................................223 4.6.4 Erosion and dilation .......................................................................224 Data Exploration and Spatial Statistics ...........................225 5.1 Statistical Methods and Spatial Data ........................................................225 5.1.1 Descriptive statistics ......................................................................227 © GEOSPATIAL ANALYSIS 5.1.2 Spatial sampling ...........................................................................228 5.1.2.1 Sampling frameworks ..................................................................230 5.1.2.2 Dedustering .............................................................................234 5.2 Exploratory Spatial Data Analysis ............................................................236 5.2.1 EDA, ESDAand ESTDA .....................................................................236 5.2.2 Outlier detection ..........................................................................238 5.2.2.1 Mapped histograms .....................................................................238 5.2.2.2 Box plots .................................................................................239 5.2.3 Cross tabulations and conditional choropleth plots ..................................241 5.2.4 ESDA and mapped point data ............................................................243 5.2.5 Trend analysis of continuous data ......................................................244 5.2.6 Cluster hunting and scan statistics .....................................................244 5.3 Grid-based Statistics ............................................................................247 5.3.1 Overview of grid-based statistics .......................................................247 5.3.2 Crosstabulated grid data, the Kappa Index and Cramer s V statistic .............248 5.3.3 Quadrat analysis of grid datasets .......................................................250 5.3.4 Landscape Metrics .........................................................................252 5.3.4.1 Non-spatial landscape metrics .......................................................254 5.3.4.2 Spatial landscape metrics .............................................................255 5.4 Point Sets and Distance Statistics ............................................................259 5.4.1 Basic distance-derived statistics ........................................................259 5.4.2 Nearest neighbor methods ...............................................................260 5.4.3 Pairwise distances .........................................................................263 5.4.4 Hot spot and cluster analysis ............................................................267 5.4.4.1 Hierarchical nearest neighbor clustering ...........................................268 5.4.4.2 K-means clustering .....................................................................269 5.4.4.3 Kernel density clustering ..............................................................269 5.4.4.4 Spatio-temporal clustering ...........................................................270 5.4.5 Proximity matrix comparisons ...........................................................272 5.5 Spatial Autocorre lation ........................................................................274 5.5.1 Autocorrelation, time series and spatial analysis ....................................274 5.5.2 Global spatial autocorrelation ...........................................................276 5.5.2.1 Join counts and the analysis of nominal-valued spatial data ...................276 5.5.2.2 Moran / and Geary С ...................................................................282 5.5.2.3 Weighting models and lags ............................................................289 5.5.3 Local indicators of spatial association (LISA) .........................................290 5.5.4 Significance tests for autocorrelation indices .........................................292 5.6 Spatial Regression ...............................................................................294 5.6.1 Regression overview .......................................................................294 5.6.2 Simple regression and trend surface modeling .......................................299 5.6.3 Geographically Weighted Regression (GWR) ..........................................301 5.6.4 Spatial autoregressive and Bayesian modeling ........................................305 5.6.4.1 Spatial autoregressive modeling .....................................................305 5.6.4.2 Conditional autoregressive and Bayesian modeling ...............................308 5.6.5 Spatial filtering models ...................................................................311 6 Surface and Field Analysis ..........................................313 6.1 Modeling Surfaces ...............................................................................313 6.1.1 Test datasets ...............................................................................313 6.1.2 Surfaces and fields ........................................................................314 6.1.3 Raster models ..............................................................................315 6.1.4 Vector models ..............................................................................318 © GEOSPATIAL ANALYSIS 6.1.5 Mathematical models .....................................................................319 6.1.6 Statistical and fractal models ...........................................................320 6.2 Surface Geometry ...............................................................................323 6.2.1 Gradient, slope and aspect ..............................................................323 6.2.1.1 Slope .....................................................................................323 6.2.1.2 Aspect ....................................................................................325 6.2.2 Profiles and curvature ....................................................................328 6.2.2.1 Profiles and cross-sections ............................................................328 6.2.2.2 Curvature and morphometric analysis ..............................................328 6.2.2.3 Profile curvature .......................................................................331 6.2.2.4 Plan curvature ..........................................................................331 6.2.2.5 Tangential curvature ..................................................................332 6.2.2.6 Longitudinal and cross-sectional curvature ........................................332 6.2.2.7 Mean, maximum and minimum curvature ..........................................332 6.2.3 Directional derivatives ....................................................................332 6.2.4 Paths on surfaces ..........................................................................333 6.2.5 Surface smoothing .........................................................................334 6.2.6 Pit filling ....................................................................................335 6.2.7 Volumetric analysis ........................................................................336 6.3 Visibility ...........................................................................................337 6.3.1 Viewsheds and RF propagation ..........................................................337 6.3.2 Line of sight ................................................................................340 6.3.3 Isovist analysis and space syntax ........................................................341 6.3.3.1 Isovists ...................................................................................341 6.3.3.2 Space syntax ............................................................................343 6.4 Watersheds and Drainage ......................................................................345 6.4.1 Overview of watersheds and drainage .................................................345 6.4.2 Drainage modeling .........................................................................345 6.4.3 D-infinity model ............................................................................346 6.4.4 Drainage modeling case study ...........................................................347 6.4.4.1 Flow accumulation .....................................................................347 6.4.4.2 Stream network construction .........................................................347 6.4.4.3 Stream basin construction ............................................................348 6.5 Gridding, Interpolation and Contouring ....................................................349 6.5.1 Overview of gridding and interpolation ................................................349 6.5.2 Gridding and interpolation methods ....................................................350 6.5.3 Contouring ..................................................................................356 6.6 Deterministic Interpolation Methods ........................................................358 6.6.1 Inverse distance weighting (IDW) .......................................................359 6.6.2 Natural neighbor ...........................................................................361 6.6.3 Nearest-neighbor ..........................................................................363 6.6.4 Radial basis and spline functions ........................................................363 6.6.5 Modified Shepard ..........................................................................364 6.6.6 Triangulation with linear interpolation ................................................365 6.6.7 Triangulation with spline-like interpolation ...........................................365 6.6.8 Rectangular or bilinear interpolation .................................................366 6.6.9 Profiling .....................................................................................366 6.6.10 Polynomial regression .....................................................................366 6.6.11 Minimum curvature ........................................................................367 6.6.12 Moving average .............................................................................367 6.6.13 Local polynomial ...........................................................................367 6.6.14 Topogrid/Topo to raster ..................................................................368 © GEOSPATIAL ANALYSIS 6.7 Geostatistical Interpolation Methods ........................................................369 6.7.1 Core concepts ..............................................................................369 6.7.1.1 Geostatistics ............................................................................369 6.7.1.2 Geostatistical references .............................................................370 6.7.1.3 Semivariance ............................................................................370 6.7.1.4 Sample size ..............................................................................371 6.7.1.5 Support ...................................................................................371 6.7.1.6 Declustering .............................................................................371 6.7.1.7 Variogram ................................................................................372 6.7.1.8 Stationarity ..............................................................................372 6.7.1.9 Sill, range and nugget .................................................................372 6.7.1.10 Transformation .........................................................................373 6.7.1.11 Anisotropy ...............................................................................374 6.7.1.12 Indicator semivariance ................................................................375 6.7.1.13 Cross-semivariance .....................................................................375 6.7.1.14 Comments on geostatistical software packages ...................................376 6.7.1.15 Semivariance modeling ................................................................377 6.7.1.16 Fractal analysis .........................................................................381 6.7.1.17 Madograms and Rodograms ...........................................................381 6.7.1.18 Periodograms and Fourier analysis ..................................................381 6.7.2 Kriging interpolation ......................................................................382 6.7.2.1 Core process ............................................................................382 6.7.2.2 Goodness of fit ..........................................................................384 6.7.2.3 Simple Kriging ...........................................................................384 6.7.2.4 Ordinary Kriging ........................................................................385 6.7.2.5 Universal Kriging ........................................................................386 6.7.2.6 Median-Polishing and Kriging .........................................................386 6.7.2.7 Indicator Kriging ........................................................................386 6.7.2.8 Probability Kriging .....................................................................386 6.7.2.9 Disjunctive Kriging .....................................................................386 6.7.2.10 Non-stationary Modeling and Stratified Kriging ...................................387 6.7.2.11 Co-Kriging ................................................................................387 6.7.2.12 Factorial Kriging ........................................................................387 6.7.2.13 Conditional simulation .................................................................387 7 Network and Location Analysis ....................................391 7.1 Introduction to Network and Location Analysis ...........................................391 7.1.1 Overview of network and location analysis ............................................391 7.1.2 Terminology ................................................................................391 7.1.3 Source data .................................................................................393 7.1.4 Algorithms and computational complexity theory ...................................395 7.2 Key Problems in Network and Location Analysis .........................................397 7.2.1 Overview - network analysis ............................................................397 7.2.1.1 Key problems in network analysis ...................................................398 7.2.1.2 Network analysis software ............................................................401 7.2.1.3 Key problems in location analysis ...................................................404 7.2.2 Heuristic and meta-heuristic algorithms ...............................................406 7.2.2.1 Greedy heuristics and local search ..................................................407 7.2.2.2 Interchange heuristics .................................................................408 7.2.2.3 Metaheuristics ..........................................................................409 7.2.2.4 Tabu search .............................................................................409 7.2.2.5 Cross-entropy (CE) methods ..........................................................410 © GEOSPATIAL ANALYSIS 7.2.2.6 Simulated annealing ...................................................................410 7.2.2.7 Lagrangian multipliers and Lagrangian relaxation ................................411 7.2.2.8 Ant systems and ant colony optimization (АСО) ..................................414 7.3 Network Construction, Optimal Routes and Optimal Tours ............................416 7.3.1 Minimum spanning tree ...................................................................416 7.3.2 Gabriel network ............................................................................417 7.3.3 Steiner trees ................................................................................419 7.3.4 Shortest (network) path problems ......................................................420 7.3.4.1 Overview of shortest path problems ................................................420 7.3.4.2 Dantzig algorithm ......................................................................421 7.3.4.3 Dijkstra algorithm ......................................................................421 7.3.4.4 A* algorithm .............................................................................422 7.3.4.5 GIS implementations of SPAs .........................................................422 7.3.4.6 Further SPAs applications .............................................................424 7.3.5 Tours, travelling salesman problems and vehicle routing ...........................425 7.3.5.1 Capacitated vehicle routing ..........................................................428 7.4 Location and Service Area Problems ........................................................430 7.4.1 Location problems .........................................................................430 7.4.2 Larger p-median and p-center problems ...............................................433 7.4.2.1 Simple heuristics .......................................................................433 7.4.2.2 Lagrangian relaxation ..................................................................433 7.4.2.3 Comparison of alternative p-median heuristics ...................................436 7.4.3 Service areas ...............................................................................438 7.4.3.1 Travel time zones ......................................................................439 7.5 Arc Routing .......................................................................................441 7.5.1 Network traversal problems .............................................................441 8 Geocomputational methods and modeling ......................445 8.1 Introduction to Geocomputation .............................................................445 8.1.1 Geocomputational methods ..............................................................445 8.1.2 Modeling dynamic processes within GIS ................................................446 8.1.2.1 Representing time and change within GIS ..........................................447 8.1.2.2 Linkage/coupling versus integration/embedding .................................449 8.2 Geosimulation ....................................................................................452 8.2.1 Introduction to geosimulation ...........................................................452 8.2.2 Cellular automata (CA) ...................................................................452 8.2.3 Agents and agent-based models .........................................................456 8.2.3.1 Agent-based models ...................................................................456 8.2.3.2 Agents ....................................................................................457 8.2.4 Applications of agent-based models ....................................................459 8.2.5 Advantages of agent-based models .....................................................462 8.2.6 Limitations of agent-based models .....................................................463 8.2.7 Explanation or prediction? ...............................................................464 8.2.8 Developing an agent-based model ......................................................466 8.2.9 Types of simulation/modeling (s/m) systems for agent-based modeling .........467 8.2.10 Guidelines for choosing a simulation/modeling (s/m) system ......................469 8.2.11 Simulation/modeling (s/m) systems for agent-based modeling ....................470 8.2.12 Verification and calibration of agent-based models .................................482 8.2.13 Validation and analysis of agent-based model outputs ..............................484 8.3 Artificial Neural Networks (ANN) .............................................................486 8.3.1 Introduction to artificial neural networks .............................................486 8.3.1.1 Multi-level perceptrons (MLP)........................................................487 © GEOSPATIAL ANALYSIS 8.3.1.2 Learning and back-propagation for MLPs ...........................................489 8.3.1.3 MLP Example 1: Function approximation ...........................................492 8.3.1.4 MLP Example 2: Landcover change modeling (LCM) ..............................494 8.3.1.5 MLP Example 3: Spatial interaction modeling .....................................497 8.3.2 Radial basis function networks ..........................................................499 8.3.3 Self organizing networks .................................................................501 8.3.3.1 Self Organizing Maps (SOMs) ..........................................................501 8.3.3.2 SOM unsupervised classification of hyper-spectral image data .................502 8.3.3.3 TSP optimization using SOM concepts ...............................................507 8.4 Genetic Algorithms and Evolutionary Computing .........................................509 8.4.1 Genetic algorithms - introduction .....................................................509 8.4.2 Genetic algorithm components ..........................................................510 8.4.2.1 Encoding or representation ...........................................................510 8.4.2.2 Fitness function .........................................................................511 8.4.2.3 Population initialization ...............................................................512 8.4.2.4 Selection .................................................................................512 8.4.2.5 Reproduction ............................................................................513 8.4.2.6 Crossover ................................................................................513 8.4.2.7 Mutation .................................................................................514 8.4.2.8 Local search .............................................................................514 8.4.2.9 Termination .............................................................................514 8.4.3 Example GA applications .................................................................514 8.4.3.1 GA Example 1 : TSP .....................................................................514 8.4.3.2 GA Example 2: Clustering .............................................................514 8.4.3.3 GA Example 3: Map labeling ..........................................................515 8.4.3.4 GA Example 4: Optimum location ...................................................517 8.4.4 Evolutionary computing and genetic programming ..................................518 Afterword ...................................................................519 References .................................................................521 CATMOG Guides ...........................................................538 R-Project spatial statistics software packages ......................540 Fragstats landscape metrics ............................................543 Web links ...................................................................545 Associations and academic bodies .....................................................................545 Online technical dictionaries/definitions ............................................................546 Spatial data, test data and spatial information sources ...........................................546 Selected national and international data and information sources ............................546 Network analysis test datasets .......................................................................547 Statistics and Spatial Statistics links ..................................................................547 Other GIS websites .......................................................................................547 Index .........................................................................549 © GEOSPATIAL ANALYSIS
any_adam_object	1
author	De Smith, Michael J. Goodchild, Michael F. 1944- Longley, Paul A. 1969-
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author_facet	De Smith, Michael J. Goodchild, Michael F. 1944- Longley, Paul A. 1969-
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id	DE-604.BV036454668
illustrated	Illustrated
indexdate	2024-12-20T14:33:47Z
institution	BVB
isbn	9781848761582 9781848761575 1848761570
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-020326696
oclc_num	779586590
open_access_boolean
owner	DE-83 DE-703 DE-355 DE-BY-UBR
owner_facet	DE-83 DE-703 DE-355 DE-BY-UBR
physical	560 S. Ill., graph. Darst., Kt.
publishDate	2009
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spellingShingle	De Smith, Michael J. Goodchild, Michael F. 1944- Longley, Paul A. 1969- Geospatial analysis a comprehensive guide to principles, techniques and software tools Geoinformatik (DE-588)7571300-7 gnd Geoinformationssystem (DE-588)4261642-6 gnd Regionalanalyse (DE-588)4299244-8 gnd
subject_GND	(DE-588)7571300-7 (DE-588)4261642-6 (DE-588)4299244-8
title	Geospatial analysis a comprehensive guide to principles, techniques and software tools
title_auth	Geospatial analysis a comprehensive guide to principles, techniques and software tools
title_exact_search	Geospatial analysis a comprehensive guide to principles, techniques and software tools
title_full	Geospatial analysis a comprehensive guide to principles, techniques and software tools Michael J. de Smith, Michael F. Goodchild, Paul A. Longley
title_fullStr	Geospatial analysis a comprehensive guide to principles, techniques and software tools Michael J. de Smith, Michael F. Goodchild, Paul A. Longley
title_full_unstemmed	Geospatial analysis a comprehensive guide to principles, techniques and software tools Michael J. de Smith, Michael F. Goodchild, Paul A. Longley
title_short	Geospatial analysis
title_sort	geospatial analysis a comprehensive guide to principles techniques and software tools
title_sub	a comprehensive guide to principles, techniques and software tools
topic	Geoinformatik (DE-588)7571300-7 gnd Geoinformationssystem (DE-588)4261642-6 gnd Regionalanalyse (DE-588)4299244-8 gnd
topic_facet	Geoinformatik Geoinformationssystem Regionalanalyse
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=020326696&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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