An evaluation framework for comparing geocoding systems

BACKGROUND: Geocoding, the process of converting textual information describing a location into one or more digital geographic representations, is a routine task performed at large organizations and government agencies across the globe. In a health context, this task is often a fundamental first st...

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Main Authors: Goldberg, D., Ballard, Morven, Boyd, James, Mullan, N., Garfield, C., Rosman, D., Ferrante, Anna, Semmens, James
Format: Journal Article
Published: BioMed Central (SpringerOpen) 2013
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/20034
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author Goldberg, D.
Ballard, Morven
Boyd, James
Mullan, N.
Garfield, C.
Rosman, D.
Ferrante, Anna
Semmens, James
author_facet Goldberg, D.
Ballard, Morven
Boyd, James
Mullan, N.
Garfield, C.
Rosman, D.
Ferrante, Anna
Semmens, James
author_sort Goldberg, D.
building Curtin Institutional Repository
collection Online Access
description BACKGROUND: Geocoding, the process of converting textual information describing a location into one or more digital geographic representations, is a routine task performed at large organizations and government agencies across the globe. In a health context, this task is often a fundamental first step performed prior to all operations that take place in a spatially-based health study. As such, the quality of the geocoding system used within these agencies is of paramount concern to the agency (the producer) and researchers or policy-makers who wish to use these data (consumers). However, geocoding systems are continually evolving with new products coming on the market continuously. Agencies must develop and use criteria across a number axes when faced with decisions about building, buying, or maintaining any particular geocoding systems. To date, published criteria have focused on one or more aspects of geocode quality without taking a holistic view of a geocoding system’s role within a large organization. The primary purpose of this study is to develop and test an evaluation framework to assist a large organization in determining which geocoding systems will meet its operational needs.METHODS: A geocoding platform evaluation framework is derived through an examination of prior literature on geocoding accuracy. The framework developed extends commonly used geocoding metrics to take into account the specific concerns of large organizations for which geocoding is a fundamental operational capability tightly-knit into its core mission of processing health data records. A case study is performed to evaluate the strengths and weaknesses of five geocoding platforms currently available in the Australian geospatial marketplace.RESULTS: The evaluation framework developed in this research is proven successful in differentiating between key capabilities of geocoding systems that are important in the context of a large organization with significant investments in geocoding resources. Results from the proposed methodology highlight important differences across all axes of geocoding system comparisons including spatial data output accuracy, reference data coverage, system flexibility, the potential for tight integration, and the need for specialized staff and/or development time and funding. Such results can empower decisions-makers within large organizations as they make decisions and investments in geocoding systems.
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spelling curtin-20.500.11937-200342017-09-13T13:51:03Z An evaluation framework for comparing geocoding systems Goldberg, D. Ballard, Morven Boyd, James Mullan, N. Garfield, C. Rosman, D. Ferrante, Anna Semmens, James Record linkage Health records Georeferencing Geocoding Postal address data BACKGROUND: Geocoding, the process of converting textual information describing a location into one or more digital geographic representations, is a routine task performed at large organizations and government agencies across the globe. In a health context, this task is often a fundamental first step performed prior to all operations that take place in a spatially-based health study. As such, the quality of the geocoding system used within these agencies is of paramount concern to the agency (the producer) and researchers or policy-makers who wish to use these data (consumers). However, geocoding systems are continually evolving with new products coming on the market continuously. Agencies must develop and use criteria across a number axes when faced with decisions about building, buying, or maintaining any particular geocoding systems. To date, published criteria have focused on one or more aspects of geocode quality without taking a holistic view of a geocoding system’s role within a large organization. The primary purpose of this study is to develop and test an evaluation framework to assist a large organization in determining which geocoding systems will meet its operational needs.METHODS: A geocoding platform evaluation framework is derived through an examination of prior literature on geocoding accuracy. The framework developed extends commonly used geocoding metrics to take into account the specific concerns of large organizations for which geocoding is a fundamental operational capability tightly-knit into its core mission of processing health data records. A case study is performed to evaluate the strengths and weaknesses of five geocoding platforms currently available in the Australian geospatial marketplace.RESULTS: The evaluation framework developed in this research is proven successful in differentiating between key capabilities of geocoding systems that are important in the context of a large organization with significant investments in geocoding resources. Results from the proposed methodology highlight important differences across all axes of geocoding system comparisons including spatial data output accuracy, reference data coverage, system flexibility, the potential for tight integration, and the need for specialized staff and/or development time and funding. Such results can empower decisions-makers within large organizations as they make decisions and investments in geocoding systems. 2013 Journal Article http://hdl.handle.net/20.500.11937/20034 10.1186/1476-072X-12-50 BioMed Central (SpringerOpen) fulltext
spellingShingle Record linkage
Health records
Georeferencing
Geocoding
Postal address data
Goldberg, D.
Ballard, Morven
Boyd, James
Mullan, N.
Garfield, C.
Rosman, D.
Ferrante, Anna
Semmens, James
An evaluation framework for comparing geocoding systems
title An evaluation framework for comparing geocoding systems
title_full An evaluation framework for comparing geocoding systems
title_fullStr An evaluation framework for comparing geocoding systems
title_full_unstemmed An evaluation framework for comparing geocoding systems
title_short An evaluation framework for comparing geocoding systems
title_sort evaluation framework for comparing geocoding systems
topic Record linkage
Health records
Georeferencing
Geocoding
Postal address data
url http://hdl.handle.net/20.500.11937/20034