Project Data Preparation and Basic Spatial Analysis
Format: Word document with graphics. Place on Student Work Zone section of the wiki by midnight of due date
The objective of this assignment is to help you prepare your data for your project, to get to know your data sets, and to practice using some of the basic processing and analysis tools with your project data.
- US Projects
Work with a state and/or city GIS data clearinghouse - see the Tufts guide to GIS Data for US Cities and Metropolitan Regions for ideas
- International projects:
You could use data downloaded for a country from the Humanitarian Response: Common and Fundamental Operational Datasets Registry (go to the country/region tab to download data by country). You could also include the Global Landcover 2000 product; Gridded Population of the World data set; if available, Livelihood Maps from FEWSNet, and/or data we have on the M: drive (e.g., ESRIDataMaps10 – world…) or the Tufts Geodata Portal
What to Turn In
Turn in a paper that documents the following - apply questions 2 and 3 to at least four data sets:
Here is a good example from Spring 2013 - Ryan Miamis Assigntment 5
Powerpoints / in-class exercises that may be of help:
- Data Management Tips
- Trouble-shooting coordinate systems - exercise
- Creating a smaller data set from a larger one - VECTOR data
- Creating a smaller data set from a larger one - RASTER data
- Select by attribute (see the tip sheet for Using the Selection Tools)
- Select by location (see the tip sheet for Using the Selection Tools)
- View statistics for selected features (see the tip sheet for Viewing Statistics and Summarizing Data)
- Summarize by an attribute field value (see the tip sheet for Viewing Statistics and Summarizing Data)
- Adding a Field to a Table and using the Field Calculator
- Calculating Area, Perimeter, and Length
Examples of questions you might answer - you only need to use four tools so at most you only need to answer four questions!
Questions you could answer about neighborhoods\provinces\districts\tracts or whatever your level of analysis is:
- What is the average population density for your study area? Is there a wide range?
- Where are the most densely populated areas? The least densely populated?
- How many schools are in your study area? Which areas have the most or least schools?
- How many miles of roads or other infrastructure are there in your study area? Which areas are the best or least provisioned for this infrastructure?
- How many services of other types or businesses are there in each of these areas? Which areas have the most or least services?
- Can you provide a count of each type of service in an area?
- What's the area of each type of land use or land cover in your project area?
- Where are the most high value properties? The lowest valued properties? Can you express this in value per square foot? Do areas close to services have higher-valued properties?
- Where are some suitable sites for a project of some sort? (e.g., affordable housing, urban agriculture, infrastructure investment)
- Where are vulnerable areas for some natural or human-induced hazard? (e.g., close to hazardous sites, close to shoreline, close to conflict zones, away from potential help, lacking resources)
For national or regional analysis:
- How many districts contain major cities (over a certain population threshhold)? What’s the urban population of a district or province compared to the population not living in cities?
- How many people live near primary roads? What proportion is that of the total population? Can you tell us anything about those people?
- How many people live close to the international border? If you have census data, can you tell us anything about those people?
- How many miles of each type of road are there?
- How many schools are farther than 10 kilometers from a major town? What proportion is that of all schools?
- Similarly, you could provide information about other point data sets – perhaps different kinds of infrastructure or services.
- If you have conflict data (e.g., from ACLED), provide some statistics about conflicts by province, or by proximity to borders or major population centers.