Geospatial Analysis 6th Edition, 2021 update - de Smith, Goodchild, Longley and Colleagues

- A -

	Spatial analysis, GIS and software tools
	GIS and related software tools
	Uncertainty
	Spatial analysis as a process
	Spatial analysis and the PPDAC model
	Cost distance
	Crosstabulated grid data, the Kappa Index and Cramer’s V statistic
	Volumetric analysis
	Overview of gridding and interpolation
	Topogrid/Topo to raster
	Limitations of agent-based models
	Verification and calibration of agent-based models
	Introduction to artificial neural networks

ACS

	Cost distance
	Distance Transforms
	Buffering
	Overview - network and locational analysis

Adaptive densification

	Tessellations and triangulations
	Vector models

Adjacency

	Spatial analysis, GIS and software tools
	Definitions
	Topology
	Spatial Relationships
	Distance, direction and spatial weights matrices
	Distance Transforms
	Distance decay models
	Landscape Metrics
	Global spatial autocorrelation
	Regression overview
	Simple regression and trend surface modeling
	Spatial autoregressive and Bayesian modeling
	Shortest (network) path problems
	Location problems

Affine transformation

Agent-Based Modeling

	Spatial analysis and the PPDAC model
	Geospatial analysis and model building
	Spatial and Spatio-temporal Data Models and Methods
	Geocomputational methods and modeling
	Modeling dynamic processes within GIS
	Geosimulation
	Cellular automata (CA)
	Agents and agent-based models
	Developing an agent-based model
	Types of simulation/modeling (s/m) systems for agent-based modeling
	Simulation/modeling (s/m) systems for agent-based modeling
	Evolutionary computing and genetic programming

AGI

AIC

	Regression overview
	Geographically Weighted Regression (GWR)
	Spatial autoregressive and Bayesian modeling

Analysis of covariance

Analysis of variance

	Classification and clustering
	Regression overview

Anderson-Darling test

	Cost distance
	Directional Operations
	Directional analysis of point datasets
	Statistical Methods and Spatial Data
	Inverse distance weighting (IDW)
	Geostatistical Interpolation Methods
	Core concepts in Geostatistics
	Kriging interpolation

Arc routing

	Suggested reading
	Network and Location Analysis
	Overview - network and locational analysis
	Arc Routing
	Network traversal problems

Areal interpolation

	Areal interpolation
	Density, kernels and occupancy

Artifacts

	Definitions
	Overlay and combination operations
	Boundaries and zone membership
	Ratios, indices, normalization, standardization and rate smoothing
	Linear spatial filtering
	Test datasets
	Surfaces and fields
	Gradient, slope and aspect
	Pit filling
	Gridding and interpolation methods
	Contouring
	Kriging interpolation

Artificial neural networks

	Spatial and Spatio-temporal Data Models and Methods
	Classification and clustering
	Geocomputational methods and modeling
	Introduction to Geocomputation
	Advantages of agent-based models
	Artificial Neural Networks (ANN)
	Introduction to artificial neural networks
	Radial basis function networks

Aspect

	Spatial analysis, GIS and software tools
	Definitions
	Length and area for raster datasets
	Directional analysis of surfaces
	Raster models
	Gradient, slope and aspect
	Profiles and curvature
	Drainage modeling
	Drainage modeling case study
	Simulation/modeling (s/m) systems for agent-based modeling

Association for Geographic Information

	Definitions
	Surface area
	Cost distance
	Gradient, slope and aspect

Azimuthal Projection

AZP

	Districting and re-districting
	Heuristic and meta-heuristic algorithms

- B -

Back transformation

Bandwidth

	Density, kernels and occupancy
	Distance decay models
	Pairwise distances
	Global spatial autocorrelation
	Geographically Weighted Regression (GWR)

Bearing

	Definitions
	Surface area
	Metrics
	Directional analysis of point datasets
	Global spatial autocorrelation

Bessel function

	Statistical measures and related formulas
	Directional analysis of linear datasets
	Radial basis and spline functions

Bézier curves

BIC

Bi-linear interpolation

Binomial distribution

Block Kriging

Blurring

	Smoothing and sharpening
	Linear spatial filtering
	Surface smoothing

Bonferroni correction

Bootstrapping

	Kriging interpolation
	Introduction to artificial neural networks

Box plots

	Classification and clustering
	EDA, ESDA and ESTDA
	Outlier detection
	Cross tabulations and conditional choropleth plots

Box-Cox

	Statistical measures and related formulas
	Regression overview

Box-Cox transform

Breaklines

	Data: Data acquisition
	Boundaries and zone membership
	Mathematical models
	Overview of gridding and interpolation
	Inverse distance weighting (IDW)

Brownian motion

	Directional analysis of point datasets
	Statistical and fractal models

Brushing

B-splines

Buffering

	Buffering
	Erosion and dilation

- C -

CAR

	Regression overview
	Spatial autoregressive and Bayesian modeling

Cartogram

	Definitions
	Density, kernels and occupancy

CCMaps

Cellular automata

	Neighborhood
	Length and area for raster datasets
	Cellular automata (CA)

Census data

	Density estimation
	Spatial sampling
	The changing context of GIScience
	Boundaries and zone membership
	Ratios, indices, normalization, standardization and rate smoothing
	Demographic Bias

Centering transform

Central Limit Theorem

Chebyshev metric

Chi-square tests

Choropleth

	Definitions
	Classification and clustering
	Ratios, indices, normalization, standardization and rate smoothing
	Cross tabulations and conditional choropleth plots
	Simple regression and trend surface modeling
	Introduction to Geocomputation

Circuity index

City block metric

	Centroids and centers
	Metrics

Classification Entropy

Clip

Clough-Tocher

Cluster analysis

	Classification and clustering
	Ratios, indices, normalization, standardization and rate smoothing
	Hot spot and cluster analysis
	Location problems

Cluster hunting

	Cluster hunting and scan statistics
	Hot spot and cluster analysis

Coefficient of determination

	Simple regression and trend surface modeling
	Spatial filtering models

Coefficient of eccentricity

Coefficient of Relative Dispersion

Coefficient of variation

	Statistical measures and related formulas
	Non-linear spatial filtering

Cognostics

Co-Kriging

Concatenation

	Definitions
	The changing context of GIScience
	Data Linkage

Conditional choropleth

	Cross tabulations and conditional choropleth plots
	Introduction to Geocomputation

Conditional simulation

	Gridding and interpolation methods
	Kriging interpolation

Conflation

	Definitions
	The changing context of GIScience
	Big Data and Research
	Data Linkage

	Definitions
	Networks
	Spatial Relationships
	Landscape Metrics
	Global spatial autocorrelation
	Vector models
	Isovist analysis and space syntax
	Terminology
	Minimum spanning tree
	Gabriel network
	Shortest (network) path problems
	Location and Service Area Problems
	Self organizing networks

Contagion

	Spatial sampling
	Landscape Metrics
	Nearest neighbor methods
	Global spatial autocorrelation

Contiguity

	Definitions
	Spatial analysis and the PPDAC model
	Districting and re-districting
	Classification and clustering

Contingency table

	Crosstabulated grid data, the Kappa Index and Cramer’s V statistic
	Hot spot and cluster analysis

Convex hull

	Spatial and Spatio-temporal Data Models and Methods
	Shape
	Boundaries and zone membership
	Tessellations and triangulations
	Spatial selection and spatial queries
	Buffering
	Spatial sampling
	Nearest neighbor methods
	Simple regression and trend surface modeling
	Gridding and interpolation methods
	Natural neighbor
	Tours, travelling salesman problems and vehicle routing
	Location problems
	Service areas

Convolution

	Neighborhood
	Smoothing and sharpening
	Linear spatial filtering

Cookie cutter

Correlated Walk

Correlation coefficient

	Statistical measures and related formulas
	Hot spot and cluster analysis
	Proximity matrix comparisons
	Autocorrelation, time series and spatial analysis
	Global spatial autocorrelation
	Regression overview
	Simple regression and trend surface modeling
	Core concepts in Geostatistics

Correlogram

	Spatial dependence
	Distance decay models
	Proximity matrix comparisons
	Autocorrelation, time series and spatial analysis
	Spatial autoregressive and Bayesian modeling
	Geostatistical Interpolation Methods

Corridor planning

Costgrow

Covariance

	Statistical measures and related formulas
	Areal interpolation
	Classification and clustering
	Autocorrelation, time series and spatial analysis
	Global spatial autocorrelation
	Local indicators of spatial association (LISA)
	Regression overview
	Spatial autoregressive and Bayesian modeling
	Core concepts in Geostatistics

Cramer’s V statistic

Cross-entropy

Crossings factor

CSR (Complete Spatial Randomness)

	Analysis: Analytical methods and tools
	Nearest neighbor methods
	Pairwise distances
	Hot spot and cluster analysis
	Local indicators of spatial association (LISA)

Curvature

	Surface area
	Centroids and centers
	Raster models
	Gradient, slope and aspect
	Profiles and curvature
	Directional derivatives
	Paths on surfaces
	Visibility
	Gridding and interpolation methods
	Minimum curvature

Cut-and-fill

	Distance Operations
	Paths on surfaces

Cycle

- D -

Dantzig algorithm

Datum

	Definitions
	Distance Operations
	Unstructured Data

Decision support

	Spatial analysis as a process
	Data: Data acquisition
	Cost distance
	Applications of agent-based models

Declustering

	Spatial sampling
	Regression overview
	Core concepts in Geostatistics

Degree (of a vertex)

Degree of membership

Delaunay diagram

Delaunay triangulation

	Tessellations and triangulations
	Global spatial autocorrelation
	Gridding and interpolation methods
	Natural neighbor
	Triangulation with linear interpolation
	Minimum spanning tree
	Tours, travelling salesman problems and vehicle routing

DGPS

	Definitions
	Distance Operations

Digital elevation model

	Definitions
	Test datasets

Digital terrain model

Digraph

Dijkstra algorithm

Dilation

	Definitions
	Erosion and dilation

D-infinity

	Gradient, slope and aspect
	Drainage modeling
	D-infinity model

Directional derivative

Discriminant analysis

Disjoint

Disjunctive Kriging

Dissolve

	Overlay and combination operations
	Buffering

Distance decay

	Geospatial analysis and model building
	Areal interpolation
	Distance decay models
	Global spatial autocorrelation
	Geographically Weighted Regression (GWR)
	Spatial autoregressive and Bayesian modeling
	Raster models
	Statistical and fractal models
	Inverse distance weighting (IDW)
	Heuristic and meta-heuristic algorithms
	CATMOG Guides

Distance transforms

	Tessellations and triangulations
	Distance Transforms
	Buffering
	Introduction to Geocomputation

Diversity

	Statistical measures and related formulas
	Tessellations and triangulations
	Overview of grid-based statistics
	Landscape Metrics

Drive-time zones

	Buffering
	Overview - network and locational analysis
	Service areas

DTM

- E -

Ecological fallacy

	Problem: Framing the question
	Regression overview
	Big Data and Research
	Ethics
	Demographic Bias

Ecological regression

Ellipsoid

	Definitions
	Length and area for vector data
	Surface area
	Metrics

Entropy

	Statistical measures and related formulas
	Classification and clustering
	Boundaries and zone membership
	Tessellations and triangulations
	ESDA and mapped point data
	Heuristic and meta-heuristic algorithms

Erosion

Error signal

ESDA

	Definitions
	Analysis: Analytical methods and tools
	Classification and clustering
	Ratios, indices, normalization, standardization and rate smoothing
	Exploratory Spatial Data Analysis
	EDA, ESDA and ESTDA
	Outlier detection
	ESDA and mapped point data
	Trend analysis of continuous data
	Spatial autoregressive and Bayesian modeling

Eulerian circuit

	Overview - network and locational analysis
	Network traversal problems

- F -

	Geospatial analysis and model building
	Distance Transforms
	Landscape Metrics

Flow accumulation

Focal functions

Fourier analysis

	Geostatistical Interpolation Methods
	Core concepts in Geostatistics

Fractal Dimension

	Shape
	Boundaries and zone membership
	Landscape Metrics
	Statistical and fractal models
	Core concepts in Geostatistics
	Fragstats landscape metrics

Freeman-Tukey

	Statistical measures and related formulas
	Spatial autoregressive and Bayesian modeling

Fuzzy membership

Fuzzy methods

	Classification and clustering
	Boundaries and zone membership
	Hot spot and cluster analysis

- G -

Gabriel network

GAM

	Density, kernels and occupancy
	Cluster hunting and scan statistics
	Introduction to Geocomputation

Gamma function

	Notation
	Statistical measures and related formulas
	Nearest neighbor methods

Gaussian Sequential Simulation

Gaussian smoothing

Gaussian surface

Geary C

	Statistical Methods and Spatial Data
	Global spatial autocorrelation
	Local indicators of spatial association (LISA)
	Significance tests for autocorrelation indices
	Geostatistical Interpolation Methods

Genetic algorithms

	Overview - network and locational analysis
	Heuristic and meta-heuristic algorithms
	Introduction to artificial neural networks
	Genetic Algorithms and Evolutionary Computing
	Genetic algorithms - introduction
	Genetic algorithm components
	Evolutionary computing and genetic programming

Geodemographics

	Definitions
	Districting and re-districting
	Ratios, indices, normalization, standardization and rate smoothing
	Demographic Bias

Geoid

	Definitions
	Surface area
	Metrics

Geoportal

	Geoportals
	Metadata

Ghost lines

GIS-T

	Definitions
	Metrics
	Network distance
	Network and Location Analysis

Global functions

GLS (Generalized Least Squares)

GPS

	Definitions
	Place
	Probability density
	Spatial Data Infrastructure
	Big Data and Research
	Machine-Generated data
	Data Quality

Graph

Greedy algorithms

	Overview - network and locational analysis
	Heuristic and meta-heuristic algorithms

Grid smoothing

Ground Truth (book)

Ground truth (validation)

	Classification and clustering
	Spatial sampling
	Crosstabulated grid data, the Kappa Index and Cramer’s V statistic

Groundwater Modeling System

Groundwater Modeling System (GMS)

- H -

	Definitions
	Districting and re-districting
	Classification and clustering
	Isovist analysis and space syntax
	Overview - network and locational analysis
	Heuristic and meta-heuristic algorithms
	Shortest (network) path problems
	Tours, travelling salesman problems and vehicle routing
	Location problems
	Larger p-median and p-center problems
	Network traversal problems
	Self organizing networks
	Genetic algorithm components
	Example GA applications

Hierarchical nearest neighbor clustering

Horn

	Raster models
	Gradient, slope and aspect

Hot spot

	Density, kernels and occupancy
	Hot spot and cluster analysis

- I -

	Distance decay models
	Gridding and interpolation methods
	Inverse distance weighting (IDW)
	Natural neighbor
	Modified Shepard

Indegree

Indicator Kriging

Indicator semivariance

Information statistic

	Statistical measures and related formulas
	Classification and clustering

Inter-quartile range (IQR)

	Statistical measures and related formulas
	Classification and clustering
	Tessellations and triangulations
	Non-linear spatial filtering
	Outlier detection
	ESDA and mapped point data

Intersection

	Overlay and combination operations
	Spatial selection and spatial queries

Intersection operator

	Spatial and Spatio-temporal Data Models and Methods
	Centroids and centers
	Areal interpolation
	Boundaries and zone membership
	Tessellations and triangulations
	Density, kernels and occupancy
	Buffering
	Spatial sampling
	Cluster hunting and scan statistics
	Pairwise distances
	Profiles and curvature
	Overview of gridding and interpolation

Invariance

	Definitions
	Metrics
	Basic distance-derived statistics

ISOcluster

ISODATA

Isotropic

	Directional Operations
	Directional analysis of point datasets
	Global spatial autocorrelation
	Core concepts in Geostatistics
	Kriging interpolation

Isovist

	Visibility
	Isovist analysis and space syntax

Iterative thresholding

- J -

Jackknifing

	Cluster hunting and scan statistics
	Geographically Weighted Regression (GWR)
	Deterministic Interpolation Methods
	Kriging interpolation

Join count

	Global spatial autocorrelation
	R-Project spatial statistics software packages

- K -

Kappa index

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

Kernel density function

Kernel smoothing

	Density, kernels and occupancy
	Cluster hunting and scan statistics
	Surface smoothing

K-means clustering

KML

	Directional analysis of surfaces
	R-Project spatial statistics software packages

KMZ

Knox test

Kolmogorov-Smirnov test

	Quadrat analysis of grid datasets
	Nearest neighbor methods

Kriging

	Spatial interpolation
	Statistical Methods and Spatial Data
	Spatial sampling
	Gridding and interpolation methods
	Kriging interpolation
	R-Project spatial statistics software packages

Kurtosis

- L -

Lacunarity

Lagrangian multiplier

	Spatial autoregressive and Bayesian modeling
	Radial basis and spline functions
	Heuristic and meta-heuristic algorithms
	Larger p-median and p-center problems

Laplacian

ldd

Learning rate

	Introduction to artificial neural networks
	Self organizing networks

Level sets

	Spatial analysis as a process
	Surface Geometry
	Contouring

Line frequency

Line of sight

	Visibility
	Viewsheds and RF propagation
	Line of sight
	Simulation/modeling (s/m) systems for agent-based modeling

Line Smoothing

Linear programming

	Overview - network and locational analysis
	Shortest (network) path problems
	Tours, travelling salesman problems and vehicle routing
	CATMOG Guides

LineString

LISA

	Global spatial autocorrelation
	Local indicators of spatial association (LISA)

Local drainage direction (ldd)

	Drainage modeling
	Drainage modeling case study

Local functions

Local Indicator of Spatial Autocorrelation

Local Indicators of Spatial Association (LISA)

Local outliers

	Outlier detection
	ESDA and mapped point data

Logistic function

	Introduction to artificial neural networks
	Self organizing networks

Logit

	Statistical measures and related formulas
	Regression overview
	CATMOG Guides

Lower quartile

	Statistical measures and related formulas
	Outlier detection
	Global spatial autocorrelation

Lp metric

- M -

Madograms

	Global spatial autocorrelation
	Core concepts in Geostatistics

Mantel test

Map algebra

	Spatial analysis, GIS and software tools
	Definitions
	Geospatial analysis and model building
	Simple calculations
	Density, kernels and occupancy
	Grid Operations and Map Algebra
	Operations on single and multiple grids
	Erosion and dilation
	Landscape Metrics
	Overview of gridding and interpolation
	Contouring
	Cellular automata (CA)

Map Calculus

	Operations on single and multiple grids
	Mathematical models

Markov chain

	Introduction to artificial neural networks
	CATMOG Guides

Markov Chain Monte Carlo

Masking

	Data: Data acquisition
	Boundaries and zone membership
	Spatial sampling
	Overview of grid-based statistics
	Core concepts in Geostatistics

MAUP

MBR

	Definitions
	Centroids and centers
	Point (object) in polygon (PIP)
	Shape
	Boundaries and zone membership
	Tessellations and triangulations
	Spatial sampling
	ESDA and mapped point data
	Cluster hunting and scan statistics
	Nearest neighbor methods
	Pairwise distances
	Natural neighbor
	Radial basis and spline functions
	Tours, travelling salesman problems and vehicle routing
	Location problems

Medial axis

	Polygon decomposition
	Isovist analysis and space syntax

Membership functions

MER

Metadata

	Introduction and terminology
	Attributes
	Metadata
	Spatial analysis and the PPDAC model
	Geospatial analysis and model building
	The changing context of GIScience
	Big Data and Geospatial Analysis

Metaheuristics

	Heuristic and meta-heuristic algorithms
	Tours, travelling salesman problems and vehicle routing
	Introduction to Geocomputation
	Genetic algorithms - introduction
	Evolutionary computing and genetic programming

Minimal spanning tree

Minimum spanning tree

	Heuristic and meta-heuristic algorithms
	Minimum spanning tree
	Tours, travelling salesman problems and vehicle routing

Mixed integer programming

Mixed regressive spatial autoregressive (MRSA)

Moore neighborhood

	Length and area for raster datasets
	Self organizing networks

Moran I

	Global spatial autocorrelation
	Local indicators of spatial association (LISA)

Morishita Index

Morphometric analysis

Multi-collinearity

Multidimensional scaling

Multi-fractal

- N -

Natural boundaries

Natural breaks

	Classification and clustering
	Tessellations and triangulations
	Heuristic and meta-heuristic algorithms

Natural neighbor

	Gridding and interpolation methods
	Natural neighbor

Nearest neighbor analysis

Network topology

	Network distance
	Introduction to artificial neural networks

	Geographically Weighted Regression (GWR)
	Spatial autoregressive and Bayesian modeling
	Deterministic Interpolation Methods
	Kriging interpolation
	Tools and Skills

Normalize Topology function

NP-complete

	Algorithms and computational complexity theory
	Overview - network and locational analysis
	Shortest (network) path problems
	Tours, travelling salesman problems and vehicle routing
	Network traversal problems

NP-full

NP-hard

	Isovist analysis and space syntax
	Algorithms and computational complexity theory
	Overview - network and locational analysis
	Steiner trees
	Larger p-median and p-center problems

Nugget

	Gridding and interpolation methods
	Core concepts in Geostatistics
	Kriging interpolation

- O -

Occupancy

	Density, kernels and occupancy
	Global spatial autocorrelation
	Cellular automata (CA)

OGC simple features specification

	Definitions
	Spatial and Spatio-temporal Data Models and Methods
	Overlay and combination operations

OLS

	Simple regression and trend surface modeling
	Geographically Weighted Regression (GWR)
	Spatial autoregressive and Bayesian modeling
	Spatial filtering models

Open Geospatial Consortium

	Spatial analysis, GIS and software tools
	Terminology and Abbreviations
	Interoperability

Open Geospatial Consortium's

Ordinary Kriging

Ordinary Least Squares

- P -

Parallel coordinate plot

Parsimony

	Analysis: Analytical methods and tools
	Regression overview

	Definitions
	Statistical Methods and Spatial Data

	Overview - network and locational analysis
	Steiner trees
	Location and Service Area Problems
	Location problems
	Larger p-median and p-center problems
	Example GA applications

	Quadrat analysis of grid datasets
	Nearest neighbor methods
	Hot spot and cluster analysis
	Regression overview

Polyline

	Definitions
	Detail, resolution, and scale
	Geometric and Related Operations
	Length and area for vector data
	Line Smoothing and point-weeding
	Centroids and centers
	Shape
	Boundaries and zone membership
	Distance Operations
	Directional analysis of linear datasets
	Profiles and curvature
	Contouring
	Source data

PPDAC

	Introduction and terminology
	Analytical methodologies
	Spatial analysis and the PPDAC model
	Spatial autoregressive and Bayesian modeling
	Overview - network and locational analysis

Precision farming

predictor variables

Probability density

	Statistical measures and related formulas
	Probability density
	Density, kernels and occupancy

Probability Kriging

Profile curvature

	Raster models
	Profiles and curvature

Proximity

	Distance, direction and spatial weights matrices
	Spatial context
	Geospatial analysis and model building
	Overlay and combination operations
	Landscape Metrics
	Basic distance-derived statistics
	Fragstats landscape metrics

Proximity bands

	Autocorrelation, time series and spatial analysis
	Global spatial autocorrelation

Proximity matrix comparisons

Proximity polygons

Pushbroom

	Cost distance
	Distance Transforms

Pycnophylactic

- Q -

Quadrat

	Density, kernels and occupancy
	Overview of grid-based statistics

Quadrat analysis

Quadrat sampling

Quadrat variance methods

Quintic functions

- R -

Radial basis

	Gridding and interpolation methods
	Radial basis and spline functions
	Kriging interpolation

Radial basis function neural networks

	Introduction to artificial neural networks
	Radial basis function networks

Radio transmission

Random walk

	Directional analysis of point datasets
	Kriging interpolation
	Heuristic and meta-heuristic algorithms

Rate smoothing

Re-districting

	Areal interpolation
	Districting and re-districting
	Genetic algorithms - introduction

Reflexive nearest neighbors

RELATE operation

Relative neighborhood network

Relative Richness

Representative fraction

Representative point

Resampling

	Definitions
	Spatial and Spatio-temporal Data Models and Methods
	Length and area for raster datasets
	Overlay and combination operations
	Erosion and dilation
	Spatial sampling
	Global spatial autocorrelation
	Regression overview
	Overview of gridding and interpolation
	Nearest-neighbor
	Rectangular or bi-linear interpolation
	Modeling dynamic processes within GIS

Response variables

	Spatial Regression
	Regression overview
	R-Project spatial statistics software packages

	Overview of grid-based statistics
	Fragstats landscape metrics

Ripley

	Statistical Methods and Spatial Data
	Pairwise distances
	Global spatial autocorrelation
	R-Project spatial statistics software packages

Rodogram

Rodograms

Rookcase

	Global spatial autocorrelation
	Local indicators of spatial association (LISA)
	Significance tests for autocorrelation indices

Rose diagram

	Directional analysis of linear datasets
	Gradient, slope and aspect

- S -

	Statistical measures and related formulas
	Ratios, indices, normalization, standardization and rate smoothing
	Spatial sampling
	Regression overview
	Geostatistical Interpolation Methods
	Demographic Bias

Sampling error

	Attributes
	Plan: Formulating the approach
	Distance decay models

Scatter plots

	EDA, ESDA and ESTDA
	Outlier detection

S-Distance

	Location problems
	Larger 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

	Smoothing and sharpening
	Linear spatial filtering

Shortest path tree

Sigmoidal functions

	Boundaries and zone membership
	Introduction to artificial neural networks

Sill

Simple Kriging

Simulated annealing

	Kriging interpolation
	Overview - network and locational analysis
	Heuristic and meta-heuristic algorithms
	Introduction to artificial neural networks
	Genetic algorithms - introduction
	Example GA applications

Simultaneous autoregressive models (SAR

	Overview - network and locational analysis
	Steiner trees
	Tours, travelling salesman problems and vehicle routing

Spatial dependence

	Definitions
	Spatial dependence
	Spatial sampling
	Spatial Statistics
	Proximity matrix comparisons
	Statistical and fractal models
	Tools and Skills

Spatial differencing

Spatial econometrics

	Definitions
	Data Exploration and Spatial Statistics

Spatial filtering

	Linear spatial filtering
	Non-linear spatial filtering
	Spatial autoregressive and Bayesian modeling

Spatial filtering models

Spatial join

Spatial non-stationarity

Spatial query

Spatial support

Spatial weights

	Distance, direction and spatial weights matrices
	Statistical Methods and Spatial Data
	Global spatial autocorrelation
	Local indicators of spatial association (LISA)
	Regression overview
	Simple regression and trend surface modeling
	Spatial autoregressive and Bayesian modeling
	Gabriel network

Spatial weights modeling

Spectral angle mapping

Spherical excess

Spheroid

	Definitions
	Distance Operations

Standard distance

	Centroids and centers
	Directional analysis of point datasets
	Overview of grid-based statistics
	Basic distance-derived statistics
	Nearest neighbor methods
	R-Project spatial statistics software packages

Star plot

Stationary process

	Quadrat analysis of grid datasets
	Core concepts in Geostatistics

Steiner trees

	Overview - network and locational analysis
	Steiner trees

Stratified Kriging

SURPOP

Symmetric difference

	Spatial and Spatio-temporal Data Models and Methods
	Overlay and combination operations

- T -

Tabu search

	Overview - network and locational analysis
	Heuristic and meta-heuristic algorithms

Tangential curvature

	Raster models
	Profiles and curvature
	Directional derivatives

Tessellation

	Definitions
	Tessellations and triangulations
	Density, kernels and occupancy

Texture analysis

Thematic map

Thiessen polygons

	Tessellations and triangulations
	Core concepts in Geostatistics

Thiessen regions

Topogrid

Topological complexity

Topology

	Definitions
	Topology
	Point (object) in polygon (PIP)

Transformation

Transformed vegetation index (TVI)

Transportation problem

	Overview - network and locational analysis
	CATMOG Guides

Travel time zones

Traveling salesman problem (TSP)

	Algorithms and computational complexity theory
	Overview - network and locational analysis
	Heuristic and meta-heuristic algorithms
	Tours, travelling salesman problems and vehicle routing
	Self organizing networks
	Genetic algorithms - introduction

Trend surface

	Spatial Regression
	Simple regression and trend surface modeling
	Gridding and interpolation methods
	CATMOG Guides

Trim-range

TSP

	Network traversal problems
	Example GA applications

TSPLIB

	Heuristic and meta-heuristic algorithms
	Tours, travelling salesman problems and vehicle routing
	Larger p-median and p-center problems
	Self organizing networks

- U -

Uncertainty

	Probability density
	Uncertainty
	Geospatial analysis and model building
	Classification and clustering
	Distance decay models
	Spatial sampling
	Hot spot and cluster analysis
	Modeling Surfaces
	Raster models
	Statistical and fractal models
	Visibility
	Viewsheds and RF propagation
	Kriging interpolation
	Agents and agent-based models
	Big Data and Research
	Data Linkage

Universal Kriging

Upper quartile

	Statistical measures and related formulas
	Global spatial autocorrelation

U-turns

	Shortest (network) path problems
	Network traversal problems

- V -

Viewshed

	Definitions
	Visibility
	Viewsheds and RF propagation
	Line of sight

- W -

Watersheds

	Watersheds and Drainage
	Drainage modeling
	Drainage modeling case study

WGS84

WGS84 ellipsoid

	Length and area for vector data
	Distance Operations

- X -

	Spatial and Spatio-temporal Data Models and Methods
	Overlay and combination operations
	Simple calculations

- Z -

Zonal functions

Zone membership

Zone of indifference weighting

Z-transform

	Statistical measures and related formulas
	Nearest neighbor methods
	Hot spot and cluster analysis
	Global spatial autocorrelation
	Significance tests for autocorrelation indices