Texts:

Campbell, J. 1993.
Map use and analysis. 2nd ed. Dubuque, IA: Wm. C. Brown Publishers.

Ebdon, D. 1985.
Statistics in Geography. 2nd ed., rev. New York, NY: Basil Blackwell, Inc.

Course Outline

PART ONE: MAPS AND MAP-LIKE THINGS

I. The Many Purposes of Maps

1. Getting About, Navigation; C:6
2. Communication; C:15, 14
3. Information Storage, Explicit and Implicit Information; C:10
4. Actual and Virtual Maps; C:1

II. Some Basics of Map Making

1. The Earth; Determining Earth Locations; C:2
2. Specifying Map Positions; Map Projections; C:3
3. Map Scale, "Generalization" and Symbolization; C:4, 13
4. Map Distortion, Error; Map Accuracy

III. Some Map-Like Things

1. Essential Elements of Actual Maps
2. Aerial Photographs; C:17
3. Remotely Sensed Imagery; C:18
4. Interpreted, Derived and Statistical Information

PART TWO: MAP USE

IV. Measurements from Maps; C:5

1. Linear Distances
2. Areas
3. Slopes, Gradients
4. Orientations
5. Attempts to Measure Shapes

V. Some Elements of Natural Landscapes; C:7 & C:8

1. Landform Features; Feature Characterization; C:9,
2. Contouring and Profiling; Ridge and Drain Delineation; C:8
3. Slope Zones and Slope Vectors
4. Drainage Network Properties; C:12

VI. Elements of Cultural Landscapes in Rural Areas

1. Landscape Organization
2. Arrangements of Extensive Land Uses
3. Arrangements of Intensive Land Uses
4. Network Properties of Rural Transportation Systems; C:12

VII. Elements of Cultural Landscapes in Urban Areas

1. Landscape Properties of Urban Land Uses
2. Assessments of Land-Use Overlap in Multi-Story Environments
3. Network Properties of Urban Transportation Systems; C:12
4. Network Properties of Transportation Systems between Cities

PART THREE: STATISTICAL PATTERN ANALYSIS

VIII. Ordinary Model Building

1. Substantive Backgrounds
2. Hyoothesis Formulation
3. Test Procedures
4. Interpreting Results

IX. Non-Sequenced Point Patterns, C:11;187-193 & E;7;128-135 & 143-149

1. Quadrat Counts
2. Nearest Neighbor Distances
3. Order Neighbor Distances
4. Disturbance Analysis
5. Determining Cluster Membership

X. Sequenced Point Patterns

1. Impact-Crater Spacing
2. Hierarchical Central Place Spacing
3. Disturbed Central Place Patterns

XI. Contiguity, E:7;150-163

1. Join Counts
2. Spatial Autocorrelation Analysis for Areal Data
3. ...for Point Data

XII. Developing Non-Standard Models of Spatial Processes

1. Simulating Stream Patterns
2. ...Simple and Hierarchical Diffusion of Innovation, Contagion
3. ...Simple and Hierarchical Point Patterns
4. ...Regional Growth and Development

PART FOUR: PROF. T'S RUMINATIONS

XIII. Isolation

1. The Geographies of Consumer/Retailer Behavior
2. Isolation in Theoretical/Actual Landscape Contexts
3. Isolation and Retail-Market Success

XIV. Spatial Search

1. Exploiting Spatial Autocorrelation
2. How Much Local Variation is a "Lot" or a "Little?"
3. Exploring for Sub-surface Archeological Materials
4. Looking for Edges of Metropoli; ...for Dispersed Cities

XV. Map Comparison, E:4.5

1. Ecological Problems in Geographical Space
2. Applying Artificial Intelligence to Arrangement Analyses
3. Developing Spatial Taxonomies
4. Assessing Environmental Disruption; ...Recovery
5. Toward A Probabilistic Model for Comparing Data Arrangments

XVI. Spatial Sampling

1. The Object of Sampling
2. Random Sampling
3. Structured Random Sampling
4. Non-Random Sampling

C. E. Tiedemann; Spring, 1997

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