Geocoding and Census Mapping: Conceptual Framework and Different Approaches Lisa Jordan Florida State University Department of Geography, Center for Demography.

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

Growing Open Source and Public Application of Census Information

• QGIS• MapWindow• uDig• Saga

Geocoding Concepts

• Address Matching

• Assignment to Enumeration Areas

Geocoding Concepts

Census Hierarchy Address Hierarchy

Geocoding Concepts

pre-enumeration enumeration post-enumeration

Applications and Limitations

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