geocoding and census mapping: conceptual framework and different approaches lisa jordan florida...
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Geocoding and Census Mapping:Conceptual Framework and Different Approaches
Lisa JordanFlorida State University
Department of Geography, Center for Demography and Population Health
Geographic census data are valuable Planning of social and educational services, poverty analysis, utility service
planning, labor force analysis, marketing analysis, voting district delineation, emergency planning, epidemiology analysis, flood plain analysis, and agriculture (including famine early warning systems)
Planning of social and educational services, poverty analysis, utility service planning, labor force analysis, marketing analysis, voting district delineation, emergency planning, epidemiology analysis, flood plain analysis, and agriculture (including famine early warning systems)
Planning of social and educational services, poverty analysis, utility service planning, labor force analysis, marketing analysis, voting district delineation, emergency planning, epidemiology analysis, flood plain analysis, and agriculture (including famine early warning systems)
Planning of social and educational services, poverty analysis, utility service planning, labor force analysis, marketing analysis, voting district delineation, emergency planning, epidemiology analysis, flood plain analysis, and agriculture (including famine early warning systems)
Planning of social and educational services, poverty analysis, utility service planning, labor force analysis, marketing analysis, voting district delineation, emergency planning, epidemiology analysis, flood plain analysis, and agriculture (including famine early warning systems)
Types of Interpolation Source(s) for Interpolation
Simple Interpolation: Gridded Population of
the World (GPW) Data
Set
Population Census Estimates
Smart Interpolation: Land-use:
Roads:
City Lights:
IKONOS, LANDSAT
TIGER
DMPS-OLS
Advanced Interpolation: LandScan:
Surface Modelling of
Population Distribution
(SMPD):
Gridded Rural-Urban
Mapping Project
(GRUMP):
Land-use, roads, slope, elevation
Land-use, Net Primary Productivity (NPP), elevation, city distribution, transportation infrastructure
Human settlement data, night-time lights, defense population databases
GPWLand-use: IKONOSLand-use: LandsatLand-use: LandsatRoads
Reibel and Bufalino,
2005
LandScan:Nighttime Lights:GRUMP:Surface Modeling: citiesrailwaysroadsland-useNPPelevation
Growing Open Source and Public Application of Census Information
Public, web-based geocoding and GIS, batchgeocode.com
gCensus, by Imran Haque, gCensus – GT, allows import of raster files, GeoTiffs, for example
Growing Open Source and Public Application of Census Information
San Francisco, population, census block groups San Francisco, population, interpolated
Suggested Updates to the Handbook
• Updates on software/hardware discussion - mentioning the potential advantages of
investing in open source GIS• Include suggestions for assessing data quality,
such as the geocoding certainty indicator (GCI) (Davis and Fonseca 2007)
• More and updated case studies (as presented here this week)
• Perhaps mention the valuable role of the United Nations in facilitating an international spatial data infrastructure that brings disparate national information together