Lecture 22 Spatial Modelling 1 : Incorporating spatial modelling in a random effects structure.
Spatial Analysis in Government Lecture 1 - Introduction
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Transcript of Spatial Analysis in Government Lecture 1 - Introduction
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Spatial Analysis in GovernmentLecture 1 - Introduction
By Guy Thigpen, M.Phil., MUSA
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Purpose of Seminar Series
Explore why spatial analysis is used in Government
Examine what types of spatial analysis are being conducted
Explain how the Philadelphia Redevelopment Authority uses spatial analysis
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Future Lecture Topics
①The city’s data warehouse GEODB2②Managing the city’s surplus property “the Front
Door”③The LAMA system④Upfront Pricing – hedonic modeling to value the
city’s real assets⑤Managing a modeling project⑥Other spatial models used by the PRA⑦Future modeling projects at the PRA
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Frameworks of Understanding
Spatial Analysis
Geography
Econometrics
Systems Thinking
Spatial Statistics Cartography
POLITICAL
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PRA Spatial AnalysesUpfront Pricing Model
Economic Impact Model
Eminent Domain Model
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PRA Spatial AnalysesMap of Assets
Historic Investment Analysis
Land Residual Model
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How is a spatial analysis initiated?
Challenge
Sponsor
Team
Resources Committed
Proposal
Contract
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PRA Priorities by Percent of Resources
50%
37%
13%
Legal 07 Accounting 12Human Resources 03Inspectors 08
Executive Leadership 03 Program Management 11Clerical 07
Program Staff 08
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The WUKID Continuum The primary objective of an analysis is to move along the WUKID continuum.
A solid foundation of data, leads to accurate information,
leading to relevant knowledge, offering insightful understanding that
allows for wise decision making.
W = Wisdom (e.g. solid decision making on resource allocation) U = Understanding (e.g. why are some projects more efficient?) K = Knowledge (e.g. efficiency of OHCD projects at achieving goals/use of funds) I = Information (e.g. # of jobs created by City funded projects) D = Data (e.g. list of all city owned property or historic investments made)
DATA Information Knowledge Understanding WISDOM
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O CPS IOutputs CustomersProcessesSuppliers Inputs
PROJECT SPONSORSHIP:
Programs/projects are sponsored by federal, state, and local sources and
carried out by contractors and city agencies
DATA:
Programs and projects
produce data
REPORT PRODUCTION: Data is stored and collated to
produce reports in a multistep process
REPORTS:
Consolidated Plan,
CAPER,
Quarterly Reports
HUD,
City Council
Mayor’s
Office
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License and InspectionsHansen http://www.phila.gov/map
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Philadelphia Redevelopment Authority
www.phillylandworks.orgLAMA
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How Data Relates to Analysis
Data
InformationBasic
Analysis
Intermediate
AnalysisKnowledge
Understanding
WisdomAdvanced
Analysis
Locations simply mapped
IDW Interpolation of Information
Detailed Report of Multiple Factors
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Philadelphia’s Data Warehouse
Next week we will explore Philadelphia’s
Data Warehouse and the data that exists in it!