Next Article in Journal
Investigating Forest Disturbance Using Landsat Data in the Nagagamisis Central Plateau, Ontario, Canada
Next Article in Special Issue
Web GIS-Based Public Health Surveillance Systems: A Systematic Review
Previous Article in Journal
Acknowledgement to Reviewers of the ISPRS International Journal of Geo-Information in 2013
Previous Article in Special Issue
Spatio-Temporal Occurrence Modeling of Highly Pathogenic Avian Influenza Subtype H5N1: A Case Study in the Red River Delta, Vietnam
ISPRS Int. J. Geo-Inf. 2014, 3(1), 236-253; doi:10.3390/ijgi3010236
Article

Spatial and Semantic Validation of Secondary Food Source Data

*  and
Received: 28 November 2013; in revised form: 6 February 2014 / Accepted: 12 February 2014 / Published: 28 February 2014
(This article belongs to the Special Issue GIS in Public Health)
View Full-Text   |   Download PDF [933 KB, uploaded 28 February 2014]   |   Browse Figures
Abstract: Governmental and commercial lists of food retailers are often used to measure food environments and foodscapes for health and nutritional research. Information about the validity of such secondary food source data is relevant to understanding the potential and limitations of its application. This study assesses the validity of two government lists of food retailer locations and types by comparing them to direct field observations, including an assessment of whether pre-classification of the directories can reduce the need for field observation. Lists of food retailers were obtained from the Central Business Register (CVR) and the Smiley directory. For each directory, the positive prediction value (PPV) and sensitivity were calculated as measures of completeness and thematic accuracy, respectively. Standard deviation was calculated as a measure of geographic accuracy. The effect of the pre-classification was measured through the calculation of PPV, sensitivity and negative prediction value (NPV). The application of either CVR or Smiley as a measure of the food environment would result in a misrepresentation. The pre-classification based on the food retailer names was found to be a valid method for identifying approximately 80% of the food retailers and limiting the need for field observation.
Keywords: spatial; semantic; public health nutrition; food environments; geographical information systems; measurement spatial; semantic; public health nutrition; food environments; geographical information systems; measurement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Export to BibTeX |
EndNote


MDPI and ACS Style

Lyseen, A.K.; Hansen, H.S. Spatial and Semantic Validation of Secondary Food Source Data. ISPRS Int. J. Geo-Inf. 2014, 3, 236-253.

AMA Style

Lyseen AK, Hansen HS. Spatial and Semantic Validation of Secondary Food Source Data. ISPRS International Journal of Geo-Information. 2014; 3(1):236-253.

Chicago/Turabian Style

Lyseen, Anders K.; Hansen, Henning S. 2014. "Spatial and Semantic Validation of Secondary Food Source Data." ISPRS Int. J. Geo-Inf. 3, no. 1: 236-253.


ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert