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May 18, 2020 - This tutorial is still being actively edited. Please wait for this message to disappear before completing or printing, if you'd like to view it in its final form.



TABLE OF CONTENTS

This guide was created by the staff of the GIS/Data Center at Rice University and is to be used for individual educational purposes only. The steps outlined in this guide require access to ArcGIS Pro software and data that is available both online and at Fondren Library.

The following text styles are used throughout the guide:

Explanatory text appears in a regular font.

  1. Instruction text is numbered.
  2. Required actions are underlined.
  3. Objects of the actions are in bold.

Folder and file names are in italics.

Names of Programs, Windows, Panes, Views, or Buttons are Capitalized.

'Names of windows or entry fields are in single quotation marks.'

"Text to be typed appears in double quotation marks."

The following step-by-step instructions and screenshots are based on the Windows 10 operating system with the Windows Classic desktop theme and ArcGIS Pro 2.1.3 software. If your personal system configuration varies, you may experience minor differences from the instructions and screenshots.

 

PART I: Install the R-ArcGIS bridge

  1. Download R and RStudio
    R link:
    R Studio link:

  2. Prepare data on Houston crime statistics
    2.1. Houston crime GIS data (shapefile) link:
    https://cohgis-mycity.opendata.arcgis.com/datasets/hpd-nibrs-crime
    Note:

    2.2. Houston crime statistics (supplementary) link:
    https://www.houstontx.gov/police/cs/Monthly_Crime_Data_by_Street_and_Police_Beat.htm
    Note:

  3. Create a new project in ArcGIS Pro
  4. Install the R-ArcGIS bridge: automatical method/manual method

 

PART II: Basic statistical analysis

  1. Aggregate point data by counts within a defined location

  2. Analyze crime hot spots: One step forward

 

PART III: Enhance the dataset with additional attributes

  1. Add additional attributes to the original dataset

  2. Further prepare the dataset

 

PART IV (KEY SECTION): Conduct statistical analysis using R and ArcGIS Pro

  1. Bridge your data into R

  2. Calculate smoothed crime rates

  3. Continue analysis in ArcGIS Pro

  4. Identify areas with unusually high crime rates


PART V (KEY SECTION): Identify attributes that influence crime

  1. Create a correlation matrix in R to evaluate attribute relationships

 

 

 

 

 

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