Geographically weighted Regression

Analyzing 911 response data using Regression

This tutorial demonstrates how regression analysis has been implemented in ArcGIS, and explores some of the special considerations you’ll want to think about whenever you use regression with spatial data.

Step 1 - adding country levels

  • we will add the following:
    • Admin level 0
    • Admin level 1
    • Admin level 2
    • Admin level 3

Step 2 - Examining where the points are located

  • at this point we can disselect admin level 2 and admin level 3

Note
  • this shows that the points are located in specific regions

Step 3 - adding Roads

Note
  • The map changes after adding road networks

Step 4 - adding water bodies

Note
  • Map changes after adding water bodies

Cliping

Tip

Extracts input features that overlay the clip features.

Use this tool to cut out a piece of one dataset using one or more of the features in another dataset as a cookie cutter. This is particularly useful for creating a new dataset—also referred to as a study area or area of interest (AOI)—that contains a geographic subset of the features in another, larger dataset.

instead of focusing on the whole map we can clip the random areas together to the exact points they are.

Steps
  • using admin level 1
    • Right click
    • go to attribute table
    • select the regions you want to focus on Tabora ,Rukwa and Kigoma
    • Go to Analysis + Go to tools
      • Clip admin1 and rename to Study_adm1_Clip
  • if we only select the clipped shapefile we observe the following map

Cliping water bodies

Before clipping water bodies

  • we see that there are water bodies far from the selected regions and points of interest
Note
  • Clip waterbodies within the selected regions
  • click the waterbodies shapefile and select attribute table and then select the lakes of interest to clip to Study_Waterbodies_Clip
  1. Tanganyika
  2. Lake Rukwa
  3. 18th lake

After clipping water bodies

Cliping Roads

Before clipping

  • We then clip to suit clipped study area.
  • Clip roads and rename to TZA_roads_study_Clip then adjust color and road thickness and rename to TZA_roads_study

After Clipping

Dissolving

Aggregates features based on specified attributes.

Before dissolving study area

Note
  • Go to Geaprocessing
  • Click Dissolve
  • select the column with numeric features that are similar (D_0)
  • rename to Study_adm1_Clip_dissolve

after dissolving study area

Add wards

Merging Kigoma and Tabora

Before merging

Note
  • Go to Geo processing
  • click merge
  • select the wards to be merged (Kigoma and Tabora)
  • Rename to Tabora_Kigoma_wards_Merge

After merging

Buffering

Creates buffer polygons around input features to a specified distance.

map areas within 10kms close the water bodies in all regions

Before buffering

Note
  • click Geoprocessing
  • Select Buffer
  • Buffer on clipped waterbodies
  • save this as study_waterbodies_Cli_Buffer

After buffering

Bounderies

Updates the extent of the boundary when adding new raster datasets to a mosaic dataset that extend beyond its previous coverage.

help pinpoint exact locations

Before adding boundery

Process
  • Wiew->Catalog->Database
  • Edit->Create->Boundary_xyz->Polygon->Draw->Save and clear

Step1

Step 2

Step 3

Step 4

Step 5

Step 6

Getting Exact Coordinates of Regions

Note
  • Click View
  • Go to Geoprocessing
  • Click on Vertice to point
  • click add
  • add X and Y as double
  • Calculate Geometry
  • Geographic coordinate system
  • select world
  • select WGS 1984
  • apply and ok

Step 7

Step 8

After adding boundery

Roads

  • highlighting areas where there are roads only and not rails

Change road color and font

Thematic maps

A thematic map “is used to display the spatial pattern of a theme or attribute” (Slocum et al. 2009, 1).

Joining

  • use attribute table to examine the possible ID’s to be used for joining the Tanzania Indicator data.
  1. Right click the merged wards shapefile.
  2. Select Joins and Relates
  3. Select the separate file with Tanzania Indicators to be joined
  4. specify the ID to join to
  5. Add join

  • below we see the joined dataset

Creating the Thematic map

Note
  1. Right clisk on the merged wards
  2. select sympology
  3. choose graduated colors
  4. select field
  5. select ITN variable

Creating a ready to publish map

Note
  1. insert
  2. new layout
  3. select Ansi landscape
  4. insert map frame.

Final map