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Populated Place Label Classification and Hierarchy for Multiscale Mapping

Date post: 23-Mar-2016
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Presented by Stephen Butzler at NACIS 2010.
1
The National Map currently uses GNIS point data for label placement which has a limited ability to demonstrate hierarchy of place. An alternative solution is to use polygons defined by the US Census Bureau and incorporate census data in order to establish additional hierarchy. This pilot project used the Survey of Business Owners from the 2002 Economic Census; number of employees is the basis for the maps shown. Colorado and Pennsylvania were used because they have different types of place geography. Both employ similar definitions of place and economic place, but Pennsylvania has substantially more places which causes more competition for label placement. Pennsylvania’s sub-county geography, the Minor Civil Division (MCD), is labeled, while Colorado’s sub-county geography is not. Census County Divisions are not labeled To compare labeling practices, Google Maps clips and clips from The National Map are stacked against the pilot project. The scales used throughout this poster were derived from the scales used by several online mapping tools. The pilot run was labeled with the Maplex label engine. Aside from adjusting font sizes, default settings were used. 1:288,895 1:144,448 Captured at 1:1,155,581 1:577,791 1:288,895 1:288,895 1:144,448 1:144,448 1:577,791 Captured at 1:1,155,581 Steve Butzler Wes Stroh Cindy Brewer Economic Place Incorporated Place Census Designated Place Census Designated Places that have competing geography are not labeled Economic Place Incorporated Place Census Designated Place Minor Civil Division Economic Place Conclusion So far, our pilot in CO and PA has demonstrated the value of using US Census Bureau data for a more refined visual hierarchy when using an automated labeling engine. Census data is nationally ubiquitous, and therefore the best practices determined in this study can be applied to the whole country. Populated Place Label Classification and Hierarchy for Multiscale Mapping 1:577,791 Economic Census Data Sample – in addition to the FIPS 55-3 Class Codes there are a number of indicators that could be used to add hierarchy. GNIS Data Sample limited to FIPS 55-3 Class Codes to show visual hierarchy Google Maps The National Map Pilot Project Map 1:577,791 1:288,895 1:144,448 Pennsylvania State University
Transcript
Page 1: Populated Place Label Classification and Hierarchy for Multiscale Mapping

The National Map currently uses GNIS point data for label placement which has a limited ability to demonstrate hierarchy of place. An alternative solution is to use polygons defined by the US Census Bureau and incorporate census data in order to establish additional hierarchy. This pilot project used the Survey of Business Owners from the 2002 Economic Census; number of employees is the basis for the maps shown. Colorado and Pennsylvania were used because they have different types of place geography. Both employ similar definitions of place and economic place, but Pennsylvania has substantially more places which causes more competition for label placement. Pennsylvania’s sub-county geography, the Minor Civil Division (MCD), is labeled, while Colorado’s sub-county geography is not.

Census County Divisions are not labeled

To compare labeling practices,

Google Maps clips and clips

from The National Map are stacked against the pilot

project.

The scales used throughout this

poster were derived from the

scales used by several online

mapping tools.

The pilot run was labeled with the

Maplex label engine. Aside from adjusting

font sizes, default settings were

used.

1:288,895

1:144,448

Captured at 1:1,155,581

1:577,791

1:288,895

1:288,895

1:144,448

1:144,448

1:577,791

Captured at 1:1,155,581

Steve Butzler Wes Stroh

Cindy Brewer

Economic Place Incorporated

Place

Census Designated

Place

Census Designated Places that have competing geography are not labeled

Economic Place Incorporated

Place

Census Designated

Place Minor Civil

Division

Economic Place

Conclusion So far, our pilot in CO and PA has demonstrated the value of using US Census Bureau data for a more refined visual hierarchy when using an automated labeling engine. Census data is nationally ubiquitous, and therefore the best practices determined in this study can be applied to the whole country.

Populated Place Label Classification and Hierarchy for Multiscale Mapping

1:577,791

Economic Census Data Sample – in addition to the FIPS 55-3 Class Codes there are a number of indicators that could be used to add hierarchy.

GNIS Data Sample – limited to FIPS 55-3 Class Codes to show visual hierarchy

Google Maps

The National

Map

Pilot Project

Map

1:577,791 1:288,895 1:144,448

Pennsylvania State University

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