GIS 2 - Spatial Analysis

GIS 2 - Spatial Analysis

Duration: 20 hours

Teaching Methodolody: Hands on

DESCRIPTION

Geographic Information Systems (GIS) are computerized systems designed for the storage, retrieval and analysis of geographically referenced data.

GIS uses advanced analytical tools to explore at a scientific level the spatial relationships, patterns, and processes of cultural, biological, demographic, economic, geographic, and physical phenomena

COURSE CONTENTS

This course provides a system for GIS users to develop proficiency in various spatial analysis methods, including location analysis; change over time, location, and value comparisons; geographic distribution; pattern analysis; and cluster identification.

Chapter 1 Mapping where things are
1-1 Working with categories
1-2 Controlling which values are displayed
1-3 Limiting values to display

Chapter 2 Mapping the most and least
2-1 Mapping quantities
2-2 Choosing classes
2-3 Creating a map series
2-4 Working with charts

Chapter 3 Mapping density
3-1 Displaying density for analysis
3-2 Creating dot density maps
3-3 Creating a density surface

Chapter 4 Finding what’s inside
4-1 Overlaying datasets for analysis
4-2 Finding features partially inside

Chapter 5 Finding what’s nearby
5-1 Selecting features nearby
5-2 Creating buffer features
5-3 Clipping features
5-4 Buffering values
5-5 Using multiple buffer zones
5-6 Quantifying nearness
5-7 Creating distance surfaces
5-8 Calculating cost along a network
5-9 Calculating nearness along a network

Chapter 6 Mapping change
6-1 Mapping change in location
6-2 Mapping change in location and magnitude
6-3 Mapping percentage change in value

Chapter 7 Measuring geographic distribution
7-1 Calculating centers
7-2 Adding weights to centers
7-3 Calculating standard distance
7-4 Calculating a standard deviational ellipse
7-5 Calculating the linear directional mean

Chapter 8 Analyzing patterns
8-1 Using average nearest neighbor
8-2 Identifying the clustering of values
8-3 Checking for multidistance clustering
8-4 Measuring spatial autocorrelation

Chapter 9 Identifying clusters
9-1 Performing cluster and outlier analysis
9-2 Performing hot spot analysis

AUDIENCE

Professionals and students exploring a potential career with GIS.

PREREQUISITES

The GIS 1 course.