part seven: using spatial analysis. traditional gis approach to a spatial problem gisdata input data...

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Part Seven: Using Spatial Analysis

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Page 1: Part Seven: Using Spatial Analysis. Traditional GIS Approach to a Spatial Problem GISData Input Data Manipulation Data Visualization Data Analysis

Part Seven: Using Spatial Analysis

Page 2: Part Seven: Using Spatial Analysis. Traditional GIS Approach to a Spatial Problem GISData Input Data Manipulation Data Visualization Data Analysis
Page 3: Part Seven: Using Spatial Analysis. Traditional GIS Approach to a Spatial Problem GISData Input Data Manipulation Data Visualization Data Analysis
Page 4: Part Seven: Using Spatial Analysis. Traditional GIS Approach to a Spatial Problem GISData Input Data Manipulation Data Visualization Data Analysis

Traditional GIS Approach to a Spatial Problem

GISData Input

Data Manipulation

Data Visualization

Data Analysis

Confirmatory

Exploratory

Problem….Idea(Data collection)

Hypothesis

Page 5: Part Seven: Using Spatial Analysis. Traditional GIS Approach to a Spatial Problem GISData Input Data Manipulation Data Visualization Data Analysis

All things Being Equal….

The Concept of Distance Decay

Closer two objects are…..more likely to be interacting.

Therefore, the center of several objects, likely to be a common influence

Several ways to do this in the GIS

One is Kernel Density Analysis,Similar approach to theAnthrax example

Page 6: Part Seven: Using Spatial Analysis. Traditional GIS Approach to a Spatial Problem GISData Input Data Manipulation Data Visualization Data Analysis

3.142*10000 = 31420

Square kms = 1000*1000 = 1000000

1 / 31420 = 0.0000318

To express as square kms * by 1000000 = 31.83

3.142*10000 = 31420

Square kms = 1000*1000 = 1000000

1 / 31420 = 0.0000318

To express as square kms * by 1000000 = 31.83

N/area

R 2

Page 7: Part Seven: Using Spatial Analysis. Traditional GIS Approach to a Spatial Problem GISData Input Data Manipulation Data Visualization Data Analysis

The areas that are “lightest” haveThe greatest concentration of “events”Such as disease cases.

The areas that are “lightest” haveThe greatest concentration of “events”Such as disease cases.