Geoprocessing Course

Lesson 1 • GIS Software Environment Setup

Guides students through installing and configuring a desktop GIS environment and organizing project files. Proper setup prevents workflow errors in later chapters.

Lesson 2 • Core Concepts of Spatial Data

Introduces vector and raster data models, spatial vs. attribute data, and real-world applications. Establishes the conceptual vocabulary used throughout the course.

Lesson 3 • Coordinate Reference Systems

Explains geographic and projected coordinate systems, datums, and units of measurement. Correct CRS selection is foundational to all subsequent geoprocessing accuracy.

Lesson 1 • Spatial Selection and Location Queries

Introduces spatial relationship operators such as intersects, contains, and within to select features by location. Spatial queries underpin nearly every geoprocessing workflow.

Lesson 2 • Projections and Reprojection Workflows

Demonstrates on-the-fly projection, permanent reprojection, and CRS alignment across multiple layers. Consistent CRS across datasets prevents spatial misalignment errors.

Lesson 3 • Spatial Joins and Table Operations

Explains joining attribute tables by location or common keys and computing summary statistics. Spatial joins enrich datasets with contextual information for deeper analysis.

Lesson 4 • Attribute-Based Data Filtering

Teaches SQL-style expressions to select features by attribute values and logical conditions. Filtering by attributes is the first step in isolating relevant data for analysis.

Lesson 1 • Network and Connectivity Analysis

Introduces graph-based network datasets, shortest-path routing, and service area delineation. Network analysis extends vector skills to transportation and logistics problems.

Lesson 2 • Union, Dissolve, and Merge Operations

Teaches combining multiple layers into one and aggregating features by shared attributes. These operations simplify complex datasets and prepare them for reporting.

Lesson 3 • Spatial Aggregation and Zonal Statistics

Explains counting, summing, and averaging attributes within defined zones using vector tools. Aggregation converts point or line data into meaningful area-level summaries.

Lesson 4 • Buffer and Proximity Analysis

Demonstrates fixed-distance, variable-distance, and multi-ring buffers around spatial features. Proximity analysis answers questions about distance relationships between features.

Lesson 1 • Terrain Analysis from Digital Elevation Models

Derives slope, aspect, hillshade, and curvature from digital elevation models. Terrain derivatives are essential inputs for hydrology, ecology, and site suitability studies.

Lesson 2 • Hydrological Modeling and Watershed Delineation

Applies flow direction, flow accumulation, and stream extraction tools to delineate watersheds. Hydrological workflows demonstrate applied raster analysis in environmental contexts.

Lesson 3 • Raster Calculator and Map Algebra

Teaches arithmetic, logical, and conditional raster expressions using the raster calculator. Map algebra enables custom index creation and reclassification workflows.

Lesson 4 • Raster Data Structure and Properties

Reviews cell size, extent, NoData values, and band composition in raster datasets. Understanding raster properties prevents misinterpretation during analysis.

Lesson 1 • Scheduling and Workflow Orchestration

Introduces task schedulers and pipeline orchestration for running geoprocessing jobs automatically. Automated scheduling supports operational data pipelines and regular reporting cycles.

Lesson 2 • Custom Geoprocessing Tool Development

Guides students through packaging scripts as custom tools with parameters, validation, and help text. Custom tools make workflows shareable and accessible to non-programmers.

Lesson 3 • Graphical Model Builder Fundamentals

Introduces the visual model builder interface for chaining geoprocessing tools into automated workflows. Models improve reproducibility and allow batch execution across datasets.

Lesson 4 • Batch Processing and Iteration

Demonstrates looping over feature classes, rasters, or folders to apply tools at scale. Batch processing is critical when working with large multi-file datasets.

Lesson 1 • Descriptive Spatial Statistics

Calculates mean center, standard distance, and directional distribution to summarize spatial datasets. Descriptive statistics reveal the central tendency and spread of geographic features.

Lesson 2 • Spatial Regression and Relationships

Introduces ordinary least squares and geographically weighted regression for modeling spatial relationships. Spatial regression accounts for location-dependent variation in explanatory variables.

Lesson 3 • Point Pattern and Density Analysis

Applies kernel density estimation and nearest-neighbor analysis to characterize point distributions. Density surfaces convert discrete events into continuous risk or intensity maps.

Lesson 4 • Hot Spot and Cluster Detection

Uses Getis-Ord Gi* and DBSCAN to identify statistically significant spatial clusters and outliers. Cluster detection supports resource allocation and risk mapping applications.

Lesson 1 • Weighted Overlay and AHP Weighting

Applies analytic hierarchy process to derive defensible weights and combines layers via weighted overlay. AHP provides a structured method for resolving conflicting stakeholder priorities.

Lesson 2 • Validation and Uncertainty Assessment

Tests model outputs against known reference data and quantifies uncertainty from weight and data variability. Validation builds confidence in suitability results for decision-making.

Lesson 3 • Suitability Modeling Framework

Establishes the conceptual workflow from problem definition through criteria selection to final suitability map. A clear framework ensures analytical decisions are transparent and reproducible.

Lesson 4 • Constraint and Exclusion Mapping

Identifies hard constraints that eliminate unsuitable areas before weighted scoring is applied. Constraint mapping prevents high scores from masking legally or physically excluded zones.

Lesson 1 • Interactive Web Map Publishing

Demonstrates exporting layers to web-compatible formats and publishing interactive maps online. Web maps extend spatial findings to broader audiences without requiring GIS software.

Lesson 2 • Print Layout and Map Composition

Guides students through building multi-element print layouts with legends, scale bars, and north arrows. Print layouts are the standard deliverable for formal spatial reports.

Lesson 3 • Thematic Mapping Techniques

Applies choropleth, proportional symbol, dot density, and graduated color methods to represent data. Choosing the correct thematic method prevents misrepresentation of spatial patterns.

Lesson 4 • Spatial Report Writing and Presentation

Structures spatial analysis reports with methods, results, and map figures for professional delivery. Clear reporting translates technical findings into actionable recommendations.