1 / 10

Geocoding and Census Mapping: Conceptual Framework and Different Approaches

Explore the conceptual framework and diverse approaches of geocoding and census mapping for social services, poverty, utility planning, labor force analysis, marketing, voting district delineation, emergency planning, epidemiology, flood plain analysis, and agriculture. This article discusses the significance and applications of geocoding in various fields alongside valuable case studies. Enhance your understanding of geocoding concepts, address hierarchy, census hierarchy, and suggestions for updates to improve data quality.

jmargarita
Télécharger la présentation

Geocoding and Census Mapping: Conceptual Framework and Different Approaches

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


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

  2. 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)

  3. Nighttime Lights: Surface Modeling: Land-use: IKONOS Roads GRUMP: Land-use: Landsat Land-use: Landsat GPW elevation NPP LandScan: railways cities roads land-use Reibel and Bufalino, 2005

  4. Growing Open Source and Public Application of Census Information Public, web-based geocoding and GIS, batchgeocode.com

  5. Growing Open Source and Public Application of Census Information San Francisco, population, census block groups San Francisco, population, interpolated gCensus, by Imran Haque, gCensus – GT, allows import of raster files, GeoTiffs, for example

  6. Growing Open Source and Public Application of Census Information • QGIS • MapWindow • uDig • Saga

  7. Geocoding Concepts • Address Matching • Assignment to Enumeration Areas

  8. Geocoding Concepts Census Hierarchy Address Hierarchy

  9. Geocoding Concepts Applications and Limitations pre-enumeration enumeration post-enumeration

  10. 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

More Related