- A -

A* algorithm

Abundance

Accumulated Cost Surface

Accuracy

IconSpatial analysis, GIS and software tools
IconGIS and related software tools
IconUncertainty
IconSpatial analysis as a process
IconSpatial analysis and the PPDAC model
IconCost distance
IconCrosstabulated grid data, the Kappa Index and Cramer’s V statistic
IconVolumetric analysis
IconOverview of gridding and interpolation
IconTopogrid/Topo to raster
IconLimitations of agent-based models
IconVerification and calibration of agent-based models
IconIntroduction to artificial neural networks

ACS

IconCost distance
IconDistance Transforms
IconBuffering
IconOverview - network and locational analysis

Adaptive densification

IconTessellations and triangulations
IconVector models

Adjacency

IconSpatial analysis, GIS and software tools
IconDefinitions
IconTopology
IconSpatial Relationships
IconDistance, direction and spatial weights matrices
IconDistance Transforms
IconDistance decay models
IconLandscape Metrics
IconGlobal spatial autocorrelation
IconRegression overview
IconSimple regression and trend surface modeling
IconSpatial autoregressive and Bayesian modeling
IconShortest (network) path problems
IconLocation problems

Affine transformation

Agent-Based Modeling

IconSpatial analysis and the PPDAC model
IconGeospatial analysis and model building
IconSpatial and Spatio-temporal Data Models and Methods
IconGeocomputational methods and modeling
IconModeling dynamic processes within GIS
IconGeosimulation
IconCellular automata (CA)
IconAgents and agent-based models
IconDeveloping an agent-based model
IconTypes of simulation/modeling (s/m) systems for agent-based modeling
IconSimulation/modeling (s/m) systems for agent-based modeling
IconEvolutionary computing and genetic programming

AGI

AIC

IconRegression overview
IconGeographically Weighted Regression (GWR)
IconSpatial autoregressive and Bayesian modeling

Analysis of covariance

Analysis of variance

IconClassification and clustering
IconRegression overview

Anderson-Darling test

Angular proximity

Angular transforms

Animal movement

Anisotropy

IconCost distance
IconDirectional Operations
IconDirectional analysis of point datasets
IconStatistical Methods and Spatial Data
IconInverse distance weighting (IDW)
IconGeostatistical Interpolation Methods
IconCore concepts in Geostatistics
IconKriging interpolation

Arc routing

IconSuggested reading
IconNetwork and Location Analysis
IconOverview - network and locational analysis
IconArc Routing
IconNetwork traversal problems

Areal interpolation

IconAreal interpolation
IconDensity, kernels and occupancy

Artifacts

IconDefinitions
IconOverlay and combination operations
IconBoundaries and zone membership
IconRatios, indices, normalization, standardization and rate smoothing
IconLinear spatial filtering
IconTest datasets
IconSurfaces and fields
IconGradient, slope and aspect
IconPit filling
IconGridding and interpolation methods
IconContouring
IconKriging interpolation

Artificial neural networks

IconSpatial and Spatio-temporal Data Models and Methods
IconClassification and clustering
IconGeocomputational methods and modeling
IconIntroduction to Geocomputation
IconAdvantages of agent-based models
IconArtificial Neural Networks (ANN)
IconIntroduction to artificial neural networks
IconRadial basis function networks

Aspect

IconSpatial analysis, GIS and software tools
IconDefinitions
IconLength and area for raster datasets
IconDirectional analysis of surfaces
IconRaster models
IconGradient, slope and aspect
IconProfiles and curvature
IconDrainage modeling
IconDrainage modeling case study
IconSimulation/modeling (s/m) systems for agent-based modeling

Association for Geographic Information

Atomistic fallacy

Attribute

Autocorrelation

IconDefinitions
IconSpatial dependence
IconLength and area for raster datasets
IconDistricting and re-districting
IconClassification and clustering
IconDistance decay models
IconSpatial sampling
IconOverview of grid-based statistics
IconProximity matrix comparisons
IconSpatial Autocorrelation
IconAutocorrelation, time series and spatial analysis
IconGlobal spatial autocorrelation
IconSignificance tests for autocorrelation indices
IconRegression overview
IconSimple regression and trend surface modeling
IconSpatial autoregressive and Bayesian modeling
IconSpatial filtering models
IconGeostatistical Interpolation Methods
IconCore concepts in Geostatistics
IconKriging interpolation
IconGabriel network

Autocovariance

Axial data

Azimuth

IconDefinitions
IconSurface area
IconCost distance
IconGradient, slope and aspect

Azimuthal Projection

AZP

IconDistricting and re-districting
IconHeuristic and meta-heuristic algorithms

- B -

Back transformation

Bandwidth

IconDensity, kernels and occupancy
IconDistance decay models
IconPairwise distances
IconGlobal spatial autocorrelation
IconGeographically Weighted Regression (GWR)

Bearing

IconDefinitions
IconSurface area
IconMetrics
IconDirectional analysis of point datasets
IconGlobal spatial autocorrelation

Bessel function

IconStatistical measures and related formulas
IconDirectional analysis of linear datasets
IconRadial basis and spline functions

Bézier curves

BIC

Bi-linear interpolation

Binomial distribution

Block Kriging

Blurring

IconSmoothing and sharpening
IconLinear spatial filtering
IconSurface smoothing

Bonferroni correction

Bootstrapping

IconKriging interpolation
IconIntroduction to artificial neural networks

Box plots

IconClassification and clustering
IconEDA, ESDA and ESTDA
IconOutlier detection
IconCross tabulations and conditional choropleth plots

Box-Cox

IconStatistical measures and related formulas
IconRegression overview

Box-Cox transform

Breaklines

IconData: Data acquisition
IconBoundaries and zone membership
IconMathematical models
IconOverview of gridding and interpolation
IconInverse distance weighting (IDW)

Brownian motion

IconDirectional analysis of point datasets
IconStatistical and fractal models

Brushing

B-splines

Buffering

IconBuffering
IconErosion and dilation

- C -

CAR

IconRegression overview
IconSpatial autoregressive and Bayesian modeling

Cartogram

IconDefinitions
IconDensity, kernels and occupancy

CCMaps

Cellular automata

IconNeighborhood
IconLength and area for raster datasets
IconCellular automata (CA)

Census data

IconDensity estimation
IconSpatial sampling
IconThe changing context of GIScience
IconBoundaries and zone membership
IconRatios, indices, normalization, standardization and rate smoothing
IconDemographic Bias

Centering transform

Central Limit Theorem

Chebyshev metric

Chi-square tests

Choropleth

IconDefinitions
IconClassification and clustering
IconRatios, indices, normalization, standardization and rate smoothing
IconCross tabulations and conditional choropleth plots
IconSimple regression and trend surface modeling
IconIntroduction to Geocomputation

Circuity index

City block metric

IconCentroids and centers
IconMetrics

Classification Entropy

Clip

Clough-Tocher

Cluster analysis

IconClassification and clustering
IconRatios, indices, normalization, standardization and rate smoothing
IconHot spot and cluster analysis
IconLocation problems

Cluster hunting

IconCluster hunting and scan statistics
IconHot spot and cluster analysis

Coefficient of determination

IconSimple regression and trend surface modeling
IconSpatial filtering models

Coefficient of eccentricity

Coefficient of Relative Dispersion

Coefficient of variation

IconStatistical measures and related formulas
IconNon-linear spatial filtering

Cognostics

Co-Kriging

Concatenation

IconDefinitions
IconThe changing context of GIScience
IconData Linkage

Conditional choropleth

IconCross tabulations and conditional choropleth plots
IconIntroduction to Geocomputation

Conditional simulation

IconGridding and interpolation methods
IconKriging interpolation

Conflation

IconDefinitions
IconThe changing context of GIScience
IconBig Data and Research
IconData Linkage

Confounding

Confusion Index

confusion matrix

Connectivity

IconDefinitions
IconNetworks
IconSpatial Relationships
IconLandscape Metrics
IconGlobal spatial autocorrelation
IconVector models
IconIsovist analysis and space syntax
IconTerminology
IconMinimum spanning tree
IconGabriel network
IconShortest (network) path problems
IconLocation and Service Area Problems
IconSelf organizing networks

Contagion

IconSpatial sampling
IconLandscape Metrics
IconNearest neighbor methods
IconGlobal spatial autocorrelation

Contiguity

IconDefinitions
IconSpatial analysis and the PPDAC model
IconDistricting and re-districting
IconClassification and clustering

Contingency table

IconCrosstabulated grid data, the Kappa Index and Cramer’s V statistic
IconHot spot and cluster analysis

Convex hull

IconSpatial and Spatio-temporal Data Models and Methods
IconShape
IconBoundaries and zone membership
IconTessellations and triangulations
IconSpatial selection and spatial queries
IconBuffering
IconSpatial sampling
IconNearest neighbor methods
IconSimple regression and trend surface modeling
IconGridding and interpolation methods
IconNatural neighbor
IconTours, travelling salesman problems and vehicle routing
IconLocation problems
IconService areas

Convolution

IconNeighborhood
IconSmoothing and sharpening
IconLinear spatial filtering

Cookie cutter

Correlated Walk

Correlation coefficient

IconStatistical measures and related formulas
IconHot spot and cluster analysis
IconProximity matrix comparisons
IconAutocorrelation, time series and spatial analysis
IconGlobal spatial autocorrelation
IconRegression overview
IconSimple regression and trend surface modeling
IconCore concepts in Geostatistics

Correlogram

IconSpatial dependence
IconDistance decay models
IconProximity matrix comparisons
IconAutocorrelation, time series and spatial analysis
IconSpatial autoregressive and Bayesian modeling
IconGeostatistical Interpolation Methods

Corridor planning

Costgrow

Covariance

IconStatistical measures and related formulas
IconAreal interpolation
IconClassification and clustering
IconAutocorrelation, time series and spatial analysis
IconGlobal spatial autocorrelation
IconLocal indicators of spatial association (LISA)
IconRegression overview
IconSpatial autoregressive and Bayesian modeling
IconCore concepts in Geostatistics

Cramer’s V statistic

Cross-entropy

Crossings factor

CSR (Complete Spatial Randomness)

IconAnalysis: Analytical methods and tools
IconNearest neighbor methods
IconPairwise distances
IconHot spot and cluster analysis
IconLocal indicators of spatial association (LISA)

Curvature

IconSurface area
IconCentroids and centers
IconRaster models
IconGradient, slope and aspect
IconProfiles and curvature
IconDirectional derivatives
IconPaths on surfaces
IconVisibility
IconGridding and interpolation methods
IconMinimum curvature

Cut-and-fill

IconDistance Operations
IconPaths on surfaces

Cycle

- D -

Dantzig algorithm

Datum

IconDefinitions
IconDistance Operations
IconUnstructured Data

Decision support

IconSpatial analysis as a process
IconData: Data acquisition
IconCost distance
IconApplications of agent-based models

Declustering

IconSpatial sampling
IconRegression overview
IconCore concepts in Geostatistics

Degree (of a vertex)

Degree of membership

Delaunay diagram

Delaunay triangulation

IconTessellations and triangulations
IconGlobal spatial autocorrelation
IconGridding and interpolation methods
IconNatural neighbor
IconTriangulation with linear interpolation
IconMinimum spanning tree
IconTours, travelling salesman problems and vehicle routing

DGPS

IconDefinitions
IconDistance Operations

Digital elevation model

IconDefinitions
IconTest datasets

Digital terrain model

Digraph

Dijkstra algorithm

Dilation

IconDefinitions
IconErosion and dilation

D-infinity

IconGradient, slope and aspect
IconDrainage modeling
IconD-infinity model

Directional derivative

Discriminant analysis

Disjoint

Disjunctive Kriging

Dissolve

IconOverlay and combination operations
IconBuffering

Distance decay

IconGeospatial analysis and model building
IconAreal interpolation
IconDistance decay models
IconGlobal spatial autocorrelation
IconGeographically Weighted Regression (GWR)
IconSpatial autoregressive and Bayesian modeling
IconRaster models
IconStatistical and fractal models
IconInverse distance weighting (IDW)
IconHeuristic and meta-heuristic algorithms
IconCATMOG Guides

Distance transforms

IconTessellations and triangulations
IconDistance Transforms
IconBuffering
IconIntroduction to Geocomputation

Diversity

IconStatistical measures and related formulas
IconTessellations and triangulations
IconOverview of grid-based statistics
IconLandscape Metrics

Drive-time zones

IconBuffering
IconOverview - network and locational analysis
IconService areas

DTM

- E -

Ecological fallacy

IconProblem: Framing the question
IconRegression overview
IconBig Data and Research
IconEthics
IconDemographic Bias

Ecological regression

Ellipsoid

IconDefinitions
IconLength and area for vector data
IconSurface area
IconMetrics

Entropy

IconStatistical measures and related formulas
IconClassification and clustering
IconBoundaries and zone membership
IconTessellations and triangulations
IconESDA and mapped point data
IconHeuristic and meta-heuristic algorithms

Erosion

Error signal

ESDA

IconDefinitions
IconAnalysis: Analytical methods and tools
IconClassification and clustering
IconRatios, indices, normalization, standardization and rate smoothing
IconExploratory Spatial Data Analysis
IconEDA, ESDA and ESTDA
IconOutlier detection
IconESDA and mapped point data
IconTrend analysis of continuous data
IconSpatial autoregressive and Bayesian modeling

Eulerian circuit

IconOverview - network and locational analysis
IconNetwork traversal problems

Excess risk  rate

- F -

Factor analysis

Factorial Kriging

Fire spread

IconGeospatial analysis and model building
IconDistance Transforms
IconLandscape Metrics

Flow accumulation

Focal functions

Fourier analysis

IconGeostatistical Interpolation Methods
IconCore concepts in Geostatistics

Fractal Dimension

IconShape
IconBoundaries and zone membership
IconLandscape Metrics
IconStatistical and fractal models
IconCore concepts in Geostatistics
IconFragstats landscape metrics

Freeman-Tukey

IconStatistical measures and related formulas
IconSpatial autoregressive and Bayesian modeling

Fuzzy membership

Fuzzy methods

IconClassification and clustering
IconBoundaries and zone membership
IconHot spot and cluster analysis

- G -

Gabriel network

GAM

IconDensity, kernels and occupancy
IconCluster hunting and scan statistics
IconIntroduction to Geocomputation

Gamma function

IconNotation
IconStatistical measures and related formulas
IconNearest neighbor methods

Gaussian Sequential Simulation

Gaussian smoothing

Gaussian surface

Geary C

IconStatistical Methods and Spatial Data
IconGlobal spatial autocorrelation
IconLocal indicators of spatial association (LISA)
IconSignificance tests for autocorrelation indices
IconGeostatistical Interpolation Methods

Genetic algorithms

IconOverview - network and locational analysis
IconHeuristic and meta-heuristic algorithms
IconIntroduction to artificial neural networks
IconGenetic Algorithms and Evolutionary Computing
IconGenetic algorithms - introduction
IconGenetic algorithm components
IconEvolutionary computing and genetic programming

Geodemographics

IconDefinitions
IconDistricting and re-districting
IconRatios, indices, normalization, standardization and rate smoothing
IconDemographic Bias

Geoid

IconDefinitions
IconSurface area
IconMetrics

Geoportal

IconGeoportals
IconMetadata

Ghost lines

GIS-T

IconDefinitions
IconMetrics
IconNetwork distance
IconNetwork and Location Analysis

Global functions

GLS (Generalized Least Squares)

GPS

IconDefinitions
IconPlace
IconProbability density
IconSpatial Data Infrastructure
IconBig Data and Research
IconMachine-Generated data
IconData Quality

Graph

Greedy algorithms

IconOverview - network and locational analysis
IconHeuristic and meta-heuristic algorithms

Grid smoothing

Ground Truth (book)

Ground truth (validation)

IconClassification and clustering
IconSpatial sampling
IconCrosstabulated grid data, the Kappa Index and Cramer’s V statistic

Groundwater Modeling System

Groundwater Modeling System (GMS)

- H -

Hamiltonian circuit

Hedonic regression

Heteroskedastic

Heuristic

IconDefinitions
IconDistricting and re-districting
IconClassification and clustering
IconIsovist analysis and space syntax
IconOverview - network and locational analysis
IconHeuristic and meta-heuristic algorithms
IconShortest (network) path problems
IconTours, travelling salesman problems and vehicle routing
IconLocation problems
IconLarger p-median and p-center problems
IconNetwork traversal problems
IconSelf organizing networks
IconGenetic algorithm components
IconExample GA applications

Hierarchical nearest neighbor clustering

Horn

IconRaster models
IconGradient, slope and aspect

Hot spot

IconDensity, kernels and occupancy
IconHot spot and cluster analysis

- I -

IAR

ICAR

Identity matrix

IDW

IconDistance decay models
IconGridding and interpolation methods
IconInverse distance weighting (IDW)
IconNatural neighbor
IconModified Shepard

Indegree

Indicator Kriging

Indicator semivariance

Information statistic

IconStatistical measures and related formulas
IconClassification and clustering

Inter-quartile range (IQR)

IconStatistical measures and related formulas
IconClassification and clustering
IconTessellations and triangulations
IconNon-linear spatial filtering
IconOutlier detection
IconESDA and mapped point data

Intersection

IconOverlay and combination operations
IconSpatial selection and spatial queries

Intersection operator

IconSpatial and Spatio-temporal Data Models and Methods
IconCentroids and centers
IconAreal interpolation
IconBoundaries and zone membership
IconTessellations and triangulations
IconDensity, kernels and occupancy
IconBuffering
IconSpatial sampling
IconCluster hunting and scan statistics
IconPairwise distances
IconProfiles and curvature
IconOverview of gridding and interpolation

Invariance

IconDefinitions
IconMetrics
IconBasic distance-derived statistics

ISOcluster

ISODATA

Isotropic

IconDirectional Operations
IconDirectional analysis of point datasets
IconGlobal spatial autocorrelation
IconCore concepts in Geostatistics
IconKriging interpolation

Isovist

IconVisibility
IconIsovist analysis and space syntax

Iterative thresholding

- J -

Jackknifing

IconCluster hunting and scan statistics
IconGeographically Weighted Regression (GWR)
IconDeterministic Interpolation Methods
IconKriging interpolation

Join count

IconGlobal spatial autocorrelation
IconR-Project spatial statistics software packages

- K -

Kappa index

IconOverview of grid-based statistics
IconCrosstabulated grid data, the Kappa Index and Cramer’s V statistic

Kernel density function

Kernel smoothing

IconDensity, kernels and occupancy
IconCluster hunting and scan statistics
IconSurface smoothing

K-means clustering

KML

IconDirectional analysis of surfaces
IconR-Project spatial statistics software packages

KMZ

Knox test

Kolmogorov-Smirnov test

IconQuadrat analysis of grid datasets
IconNearest neighbor methods

Kriging

IconSpatial interpolation
IconStatistical Methods and Spatial Data
IconSpatial sampling
IconGridding and interpolation methods
IconKriging interpolation
IconR-Project spatial statistics software packages

Kurtosis

- L -

Lacunarity

Lagrangian multiplier

IconSpatial autoregressive and Bayesian modeling
IconRadial basis and spline functions
IconHeuristic and meta-heuristic algorithms
IconLarger p-median and p-center problems

Laplacian

ldd

Learning rate

IconIntroduction to artificial neural networks
IconSelf organizing networks

Level sets

IconSpatial analysis as a process
IconSurface Geometry
IconContouring

Line frequency

Line of sight

IconVisibility
IconViewsheds and RF propagation
IconLine of sight
IconSimulation/modeling (s/m) systems for agent-based modeling

Line Smoothing

Linear programming

IconOverview - network and locational analysis
IconShortest (network) path problems
IconTours, travelling salesman problems and vehicle routing
IconCATMOG Guides

LineString

LISA

IconGlobal spatial autocorrelation
IconLocal indicators of spatial association (LISA)

Local drainage direction (ldd)

IconDrainage modeling
IconDrainage modeling case study

Local functions

Local Indicator of Spatial Autocorrelation

Local Indicators of Spatial Association (LISA)

Local outliers

IconOutlier detection
IconESDA and mapped point data

Logistic function

IconIntroduction to artificial neural networks
IconSelf organizing networks

Logit

IconStatistical measures and related formulas
IconRegression overview
IconCATMOG Guides

Lower quartile

IconStatistical measures and related formulas
IconOutlier detection
IconGlobal spatial autocorrelation

Lp metric

- M -

Madograms

IconGlobal spatial autocorrelation
IconCore concepts in Geostatistics

Mantel test

Map algebra

IconSpatial analysis, GIS and software tools
IconDefinitions
IconGeospatial analysis and model building
IconSimple calculations
IconDensity, kernels and occupancy
IconGrid Operations and Map Algebra
IconOperations on single and multiple grids
IconErosion and dilation
IconLandscape Metrics
IconOverview of gridding and interpolation
IconContouring
IconCellular automata (CA)

Map Calculus

IconOperations on single and multiple grids
IconMathematical models

Markov chain

IconIntroduction to artificial neural networks
IconCATMOG Guides

Markov Chain Monte Carlo

Masking

IconData: Data acquisition
IconBoundaries and zone membership
IconSpatial sampling
IconOverview of grid-based statistics
IconCore concepts in Geostatistics

MAUP

MBR

IconDefinitions
IconCentroids and centers
IconPoint (object) in polygon (PIP)
IconShape
IconBoundaries and zone membership
IconTessellations and triangulations
IconSpatial sampling
IconESDA and mapped point data
IconCluster hunting and scan statistics
IconNearest neighbor methods
IconPairwise distances
IconNatural neighbor
IconRadial basis and spline functions
IconTours, travelling salesman problems and vehicle routing
IconLocation problems

Medial axis

IconPolygon decomposition
IconIsovist analysis and space syntax

Membership functions

MER

Metadata

IconIntroduction and terminology
IconAttributes
IconMetadata
IconSpatial analysis and the PPDAC model
IconGeospatial analysis and model building
IconThe changing context of GIScience
IconBig Data and Geospatial Analysis

Metaheuristics

IconHeuristic and meta-heuristic algorithms
IconTours, travelling salesman problems and vehicle routing
IconIntroduction to Geocomputation
IconGenetic algorithms - introduction
IconEvolutionary computing and genetic programming

Minimal spanning tree

Minimum spanning tree

IconHeuristic and meta-heuristic algorithms
IconMinimum spanning tree
IconTours, travelling salesman problems and vehicle routing

Mixed integer programming

Mixed regressive spatial autoregressive (MRSA)

Moore neighborhood

IconLength and area for raster datasets
IconSelf organizing networks

Moran I

IconGlobal spatial autocorrelation
IconLocal indicators of spatial association (LISA)

Morishita Index

Morphometric analysis

Multi-collinearity

Multidimensional scaling

Multi-fractal

- N -

Natural boundaries

Natural breaks

IconClassification and clustering
IconTessellations and triangulations
IconHeuristic and meta-heuristic algorithms

Natural neighbor

IconGridding and interpolation methods
IconNatural neighbor

Nearest neighbor analysis

Network topology

IconNetwork distance
IconIntroduction to artificial neural networks

NNh

Node Routing

Non-convex hull

Non-planar

Non-stationarity

IconGeographically Weighted Regression (GWR)
IconSpatial autoregressive and Bayesian modeling
IconDeterministic Interpolation Methods
IconKriging interpolation
IconTools and Skills

Normalize Topology function

NP-complete

IconAlgorithms and computational complexity theory
IconOverview - network and locational analysis
IconShortest (network) path problems
IconTours, travelling salesman problems and vehicle routing
IconNetwork traversal problems

NP-full

NP-hard

IconIsovist analysis and space syntax
IconAlgorithms and computational complexity theory
IconOverview - network and locational analysis
IconSteiner trees
IconLarger p-median and p-center problems

Nugget

IconGridding and interpolation methods
IconCore concepts in Geostatistics
IconKriging interpolation

- O -

Occupancy

IconDensity, kernels and occupancy
IconGlobal spatial autocorrelation
IconCellular automata (CA)

OGC simple features specification

IconDefinitions
IconSpatial and Spatio-temporal Data Models and Methods
IconOverlay and combination operations

OLS

IconSimple regression and trend surface modeling
IconGeographically Weighted Regression (GWR)
IconSpatial autoregressive and Bayesian modeling
IconSpatial filtering models

Open Geospatial Consortium

IconSpatial analysis, GIS and software tools
IconTerminology and Abbreviations
IconInteroperability

Open Geospatial Consortium's

Ordinary Kriging

Ordinary Least Squares

Outdegree

Over-determined

Over-fitting

Over-specified

Over-training

- P -

Parallel coordinate plot

Parsimony

IconAnalysis: Analytical methods and tools
IconRegression overview

Periodograms

Piecewise function

Pit filling

Plan convexity

Planar enforced

IconDefinitions
IconStatistical Methods and Spatial Data

Planar enforcement

Planar graph

Planimetric area

p-median problems

IconOverview - network and locational analysis
IconSteiner trees
IconLocation and Service Area Problems
IconLocation problems
IconLarger p-median and p-center problems
IconExample GA applications

Point in polygon

Point Kriging

Point sampling

Point weeding

Poisson distribution

IconQuadrat analysis of grid datasets
IconNearest neighbor methods
IconHot spot and cluster analysis
IconRegression overview

Polyline

IconDefinitions
IconDetail, resolution, and scale
IconGeometric and Related Operations
IconLength and area for vector data
IconLine Smoothing and point-weeding
IconCentroids and centers
IconShape
IconBoundaries and zone membership
IconDistance Operations
IconDirectional analysis of linear datasets
IconProfiles and curvature
IconContouring
IconSource data

PPDAC

IconIntroduction and terminology
IconAnalytical methodologies
IconSpatial analysis and the PPDAC model
IconSpatial autoregressive and Bayesian modeling
IconOverview - network and locational analysis

Precision farming

predictor variables

Probability density

IconStatistical measures and related formulas
IconProbability density
IconDensity, kernels and occupancy

Probability Kriging

Profile curvature

IconRaster models
IconProfiles and curvature

Proximity

IconDistance, direction and spatial weights matrices
IconSpatial context
IconGeospatial analysis and model building
IconOverlay and combination operations
IconLandscape Metrics
IconBasic distance-derived statistics
IconFragstats landscape metrics

Proximity bands

IconAutocorrelation, time series and spatial analysis
IconGlobal spatial autocorrelation

Proximity matrix comparisons

Proximity polygons

Pushbroom

IconCost distance
IconDistance Transforms

Pycnophylactic

- Q -

Quadrat

IconDensity, kernels and occupancy
IconOverview of grid-based statistics

Quadrat analysis

Quadrat sampling

Quadrat variance methods

Quintic functions

- R -

Radial basis

IconGridding and interpolation methods
IconRadial basis and spline functions
IconKriging interpolation

Radial basis function neural networks

IconIntroduction to artificial neural networks
IconRadial basis function networks

Radio transmission

Random walk

IconDirectional analysis of point datasets
IconKriging interpolation
IconHeuristic and meta-heuristic algorithms

Rate smoothing

Re-districting

IconAreal interpolation
IconDistricting and re-districting
IconGenetic algorithms - introduction

Reflexive nearest neighbors

RELATE operation

Relative neighborhood network

Relative Richness

Representative fraction

Representative point

Resampling

IconDefinitions
IconSpatial and Spatio-temporal Data Models and Methods
IconLength and area for raster datasets
IconOverlay and combination operations
IconErosion and dilation
IconSpatial sampling
IconGlobal spatial autocorrelation
IconRegression overview
IconOverview of gridding and interpolation
IconNearest-neighbor
IconRectangular or bi-linear interpolation
IconModeling dynamic processes within GIS

Response variables

IconSpatial Regression
IconRegression overview
IconR-Project spatial statistics software packages

Resultant vector

RF propagation

Rhumb line

Richness

IconOverview of grid-based statistics
IconFragstats landscape metrics

Ripley

IconStatistical Methods and Spatial Data
IconPairwise distances
IconGlobal spatial autocorrelation
IconR-Project spatial statistics software packages

Rodogram

Rodograms

Rookcase

IconGlobal spatial autocorrelation
IconLocal indicators of spatial association (LISA)
IconSignificance tests for autocorrelation indices

Rose diagram

IconDirectional analysis of linear datasets
IconGradient, slope and aspect

Route factor

Row standardization

Rubber sheeting

- S -

Sample size

IconStatistical measures and related formulas
IconRatios, indices, normalization, standardization and rate smoothing
IconSpatial sampling
IconRegression overview
IconGeostatistical Interpolation Methods
IconDemographic Bias

Sampling error

IconAttributes
IconPlan: Formulating the approach
IconDistance decay models

Scatter plots

IconEDA, ESDA and ESTDA
IconOutlier detection

S-Distance

IconLocation problems
IconLarger p-median and p-center problems

Second-order (interaction) effects

Second-order process

Second-order stationary

Self organizing maps (SOM)

Self organizing networks

Semivariance modeling

Serial correlation coefficient

Shape distribution

Sharpening

IconSmoothing and sharpening
IconLinear spatial filtering

Shortest path tree

Sigmoidal functions

IconBoundaries and zone membership
IconIntroduction to artificial neural networks

Sill

Simple Kriging

Simulated annealing

IconKriging interpolation
IconOverview - network and locational analysis
IconHeuristic and meta-heuristic algorithms
IconIntroduction to artificial neural networks
IconGenetic algorithms - introduction
IconExample GA applications

Simultaneous autoregressive models  (SAR

Sinuosity

Slivers

Slope distance

SOM

Space syntax

Spanning tree

IconOverview - network and locational analysis
IconSteiner trees
IconTours, travelling salesman problems and vehicle routing

Spatial dependence

IconDefinitions
IconSpatial dependence
IconSpatial sampling
IconSpatial Statistics
IconProximity matrix comparisons
IconStatistical and fractal models
IconTools and Skills

Spatial differencing

Spatial econometrics

IconDefinitions
IconData Exploration and Spatial Statistics

Spatial filtering

IconLinear spatial filtering
IconNon-linear spatial filtering
IconSpatial autoregressive and Bayesian modeling

Spatial filtering models

Spatial join

Spatial non-stationarity

Spatial query

Spatial support

Spatial weights

IconDistance, direction and spatial weights matrices
IconStatistical Methods and Spatial Data
IconGlobal spatial autocorrelation
IconLocal indicators of spatial association (LISA)
IconRegression overview
IconSimple regression and trend surface modeling
IconSpatial autoregressive and Bayesian modeling
IconGabriel network

Spatial weights modeling

Spectral angle mapping

Spherical excess

Spheroid

IconDefinitions
IconDistance Operations

Standard distance

IconCentroids and centers
IconDirectional analysis of point datasets
IconOverview of grid-based statistics
IconBasic distance-derived statistics
IconNearest neighbor methods
IconR-Project spatial statistics software packages

Star plot

Stationary process

IconQuadrat analysis of grid datasets
IconCore concepts in Geostatistics

Steiner trees

IconOverview - network and locational analysis
IconSteiner trees

Stratified Kriging

SURPOP

Symmetric difference

IconSpatial and Spatio-temporal Data Models and Methods
IconOverlay and combination operations

- T -

Tabu search

IconOverview - network and locational analysis
IconHeuristic and meta-heuristic algorithms

Tangential curvature

IconRaster models
IconProfiles and curvature
IconDirectional derivatives

Tessellation

IconDefinitions
IconTessellations and triangulations
IconDensity, kernels and occupancy

Texture analysis

Thematic map

Thiessen polygons

IconTessellations and triangulations
IconCore concepts in Geostatistics

Thiessen regions

Topogrid

Topological complexity

Topology

IconDefinitions
IconTopology
IconPoint (object) in polygon (PIP)

Transformation

Transformed vegetation index (TVI)

Transportation problem

IconOverview - network and locational analysis
IconCATMOG Guides

Travel time zones

Traveling salesman problem (TSP)

IconAlgorithms and computational complexity theory
IconOverview - network and locational analysis
IconHeuristic and meta-heuristic algorithms
IconTours, travelling salesman problems and vehicle routing
IconSelf organizing networks
IconGenetic algorithms - introduction

Trend surface

IconSpatial Regression
IconSimple regression and trend surface modeling
IconGridding and interpolation methods
IconCATMOG Guides

Trim-range

TSP

IconNetwork traversal problems
IconExample GA applications

TSPLIB

IconHeuristic and meta-heuristic algorithms
IconTours, travelling salesman problems and vehicle routing
IconLarger p-median and p-center problems
IconSelf organizing networks

- U -

Uncertainty

IconProbability density
IconUncertainty
IconGeospatial analysis and model building
IconClassification and clustering
IconDistance decay models
IconSpatial sampling
IconHot spot and cluster analysis
IconModeling Surfaces
IconRaster models
IconStatistical and fractal models
IconVisibility
IconViewsheds and RF propagation
IconKriging interpolation
IconAgents and agent-based models
IconBig Data and Research
IconData Linkage

Universal Kriging

Upper quartile

IconStatistical measures and related formulas
IconGlobal spatial autocorrelation

U-turns

IconShortest (network) path problems
IconNetwork traversal problems

- V -

Viewshed

IconDefinitions
IconVisibility
IconViewsheds and RF propagation
IconLine of sight

- W -

Watersheds

IconWatersheds and Drainage
IconDrainage modeling
IconDrainage modeling case study

WGS84

WGS84 ellipsoid

IconLength and area for vector data
IconDistance Operations

Wind rose

Winding number

Wombling

- X -

XOR

IconSpatial and Spatio-temporal Data Models and Methods
IconOverlay and combination operations
IconSimple calculations

- Z -

Zonal functions

Zone membership

Zone of indifference weighting

Z-transform

IconStatistical measures and related formulas
IconNearest neighbor methods
IconHot spot and cluster analysis
IconGlobal spatial autocorrelation
IconSignificance tests for autocorrelation indices