harvard government 90dn lecture 2
TRANSCRIPT
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Government 90dnMapping the Census
Lecture 2: Data from the Census: Strategies to
understand and acquire it
Sumeeta [email protected]
Reference: Unlocking the Census, Ch 2; www.census.gov
mailto:[email protected]://www.census.gov/http://www.census.gov/mailto:[email protected] -
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Standard Format for ClassesLecture (1 hour or less)
Followed by or interspersed with discussion
Discussion: based on article
Lab Exercises (1-2 hours) All due Nov 20th
2-? hours (may extend beyond class times) thatshould be ideally returned to the instructor before
the next lab
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EvaluationLab exercises (5): 25%
5 points each for Labs 1-5
Final project: 55%Proposal (5%), presentation (10%) and report (40%)
Participation: 20%
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Final ProjectProject proposal by November 1st
Should include spatial and non-spatial datadescription
Background research (context) and motivation
Research questions,
Proposed methodology
Project presentation on December 5th or 12th
Project summary report Jan 1st
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Course Topics1. Introduction to Census
2. Census Data Basics
Data Types
Databases3. Introducing Maps
GISCartography
Applications
DemographyEconomicsHousing and Transportation
Research MethodsWriting Proposals andPapers
Quantitative methods
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Geographic Information System
Container of mapsSpatial decision support system:
Method for revealing patterns and processes in
geographic information
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Example:The Hispanic Population: 1990-2000 Growth and Change
Source: www.sabresystems.com/whitepapers/hispanic_population.pdf
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Sources of DataUS Census
Local Agencies (Massgis in Massachusetts otherState agencies in other states)
Harvard Map Library
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Linking to Internet Sites
Geography Network Example
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US Censuswww.census.gov TIGER Maps
Summary File
(SF) Tables
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Census Tracts (TIGER)Small, relatively permanent statistical subdivisions
of countiesdelineated by local committees in accordance with CensusBureau guidelines
between 1,000 and 8,000 people (in general)
1,700 housing units or 4,000 people
homogeneous population characteristics (economic status andliving conditions)
normally follow visible features
may follow governmental unit boundaries and other non visiblefeatures
more than 60,000 census tracts in Census 2000
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State Census Tracts
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County Census Tracts
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City Census Tracts
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Census Blocks GroupsBlock groups (BGs) are the next level below
census tracts in the geo-graphic hierarchy
- a subdivision of a census tract
-400 housing units, with a minimum of 250, and amaximum of 550 housing units
-follow clearly visible features, such as roads, rivers,
and railroads
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Census Block Groups
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Census Blocks
Smallest geographic area for which the CensusBureau collects and tabulates decennial census
information.
Block boundaries are visible (street, road,
stream, shoreline, etc.) or nonvisible (countyline, city limit, property line, etc.) features.
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Census Blocks
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Other Census TIGER Layers
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SF1 Tables
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SF2 Tables
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SF3 Tables
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Download Census Data Table
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Download Census Data Table
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Data Types
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Data TypesDatabase Compatible
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Clean Data in Excel
Delete
unnecessaryrows
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Clear Formatting
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Highlight Cells
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Save DatabaseSaved as .CSV or .DBF
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Add in ArcMap (GIS)
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Add Data Table in ArcMap
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Download Shapefile
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Add Shapefile
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Select County Features and Export
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Check Fields to Join
Problem!
Fields are not the same
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Create New Fields
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Ready to Join
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Join Data
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Fields Added to Tracts Table
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Number FieldsQuantities will only appear with number fields
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Common DatasetsU.S. Census Maps and U.S. Census Tables
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Common DatasetsZip Codes
Use with U.S. Census data or Geocoding
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Place Geocodes: FIPS CodesFederal Information Processing Standards Codes
Developed by the National Institute of Standards andTechnology
Codes for Place Names Throughout the Worldcountries
states/provinces
counties
metropolitan statistical areas (MSAs)
cities
places - indian reservations, airports, and post offices in the US
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Place Geocodes: Hierarchy
Country: US
FIPS CODES
County: 003 (Allegheny)
State: 42 (Pennsylvania)
Tract: 0501
Block: 12 (US420030501312)Block Group: 3
CENSUS CODES
Minor Civil Division: 85188 (Wilkinsburg)
Parcel (Block & Lot#)
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Keys
All attributes or sets of attributes that have theproperty of row uniqueness are candidate keys
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Examples
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SQL QuerySELECT *
FROM Off199803
WHERE Context = BURGLARY
ORDER BY Crnumber;
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GIS RQBE
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Result