Create Graduated Symbol and Density Maps from Geocoded data in ArcGIS Desktop

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Introduction

This document aims to show how to carry out simple GIS Anlaysis using ArcGIS Desktop.

Aim

The overall aim of the processes is to create a Graduated Symbol map and a Density map. This process will demonstrate Geocoding postcodes and then performing analysis using spatial joins and creating map outputs.

Required Datasets

Summary of Processes

Step

Process Description

ArcGIS Desktop Tool

1

Create an Address Locator to Geocode postcodes using Code-Point Open data.

Use ArcToolbox to create an Address Locator

2

Geocode addresses

Geocode Input source (postcode) data as CSV

3

Clip points to spatial boundary

Select by Location within area of interest, invert selection and delete features outside area.

4

Calculate populations within boundaries

Spatial Join between Wards and Geocoded population data and Sum the attributes for population

5

Classification and Symbology

Display using classified graduated symbols or colours

6

Create Density Map

Use Point Density Toolbox on Geocoded population points. Creates classified raster surface


1) Create an Address Locator in ArcGIS Desktop

This will be used to geocode the postcodes, enabling them to be mapped.

Next, create an Address Locator in ArcGIS using the downloaded Shapefile of postcodes for Edinburgh.

2) Get Population by Postcode Unit

3) Geocode Spreadsheet of Population by Postcode

Geocode the Population potcodes data

The geocoded Population dataset will be added to ArcMap once the process has completed.

4) Clip the data to an existing Spatial Extent

We only want a map showing the population within the boundary of the City of Edinburgh. The EH postcode extends outside of the City of Edinburgh.

5) Create Map of Population per Ward

Do a Spatial Join to calculate the population within each Ward area from all the Postcodes in that Ward. Add ‘counts’ to all the Ward polygons of points that match the criteria.

6) Symbolize Ward Population Data

Set up symbology (e.g. gradient, points symbols etc.) on the newly created dataset using the different attributes for the different maps:

7) Population Density Map

Create a population density map from the geocoded population points.

8) Add a Basemap

9) Final Map

The final map looks similar to that below showing both the Graduated Symbol symbols and the density map.