Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues
Geographic information science (GIScience) offers survey researchers a plethora of rapidly evolving research strategies and tools for data acquisition and analysis. However, the potential for incorporating geographic information systems (GIS) tools into traditional survey research has not yet been f...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
European Survey Research Association
2017-10-01
|
Series: | Survey Research Methods |
Subjects: | |
Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/6733 |
id |
doaj-946d1b147b134381b025303fcf190112 |
---|---|
record_format |
Article |
spelling |
doaj-946d1b147b134381b025303fcf1901122020-11-24T21:54:37ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612017-10-0111310.18148/srm/2017.v11i3.6733Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future AvenuesMatthias Bluemke0Bernd Resch1Clemens Lechner2René Westerholt3Jan-Philipp Kolb4GESIS Mannheim - Leibniz Institute for the Social Sciences1. Z_GIS, University of Salzburg, Salzburg, Austria 2. Center for Geographic Analysis, Harvard University, Cambridge, MA, USAGESIS Mannheim & Center for Applied Developmental Science (CADS), University of Jena, GermanyHeidelberg University, GermanyGESIS Mannheim - Leibniz Institute for the Social SciencesGeographic information science (GIScience) offers survey researchers a plethora of rapidly evolving research strategies and tools for data acquisition and analysis. However, the potential for incorporating geographic information systems (GIS) tools into traditional survey research has not yet been fully appreciated by survey researchers. In this article, we provide a comprehensive overview of recent advances and challenges in leveraging this potential. First, we present state-of-the-art applications of GIS tools in traditional survey research, drawing mainly on examples from psychological survey research (e.g., socioecological psychology). We also discuss innovative GIS tools (e.g., wearables) and GIScience methods (e.g., citizen sensing) that expand the scope of traditional surveys. Second, we highlight a number of challenges and problems (e.g., choice of spatial scale, statistical issues, privacy concerns) and - where possible - suggest remedies. With increasing awareness of the potential that GIS tools hold for survey research, and intensified dialogue between researchers from both sides, more fruitful collaboration appears within reach.https://ojs.ub.uni-konstanz.de/srm/article/view/6733GIScienceGIS toolssocioecological psychologywearablessocial media |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Matthias Bluemke Bernd Resch Clemens Lechner René Westerholt Jan-Philipp Kolb |
spellingShingle |
Matthias Bluemke Bernd Resch Clemens Lechner René Westerholt Jan-Philipp Kolb Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues Survey Research Methods GIScience GIS tools socioecological psychology wearables social media |
author_facet |
Matthias Bluemke Bernd Resch Clemens Lechner René Westerholt Jan-Philipp Kolb |
author_sort |
Matthias Bluemke |
title |
Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues |
title_short |
Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues |
title_full |
Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues |
title_fullStr |
Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues |
title_full_unstemmed |
Integrating Geographic Information into Survey Research: Current Applications, Challenges and Future Avenues |
title_sort |
integrating geographic information into survey research: current applications, challenges and future avenues |
publisher |
European Survey Research Association |
series |
Survey Research Methods |
issn |
1864-3361 |
publishDate |
2017-10-01 |
description |
Geographic information science (GIScience) offers survey researchers a plethora of rapidly evolving research strategies and tools for data acquisition and analysis. However, the potential for incorporating geographic information systems (GIS) tools into traditional survey research has not yet been fully appreciated by survey researchers. In this article, we provide a comprehensive overview of recent advances and challenges in leveraging this potential. First, we present state-of-the-art applications of GIS tools in traditional survey research, drawing mainly on examples from psychological survey research (e.g., socioecological psychology). We also discuss innovative GIS tools (e.g., wearables) and GIScience methods (e.g., citizen sensing) that expand the scope of traditional surveys. Second, we highlight a number of challenges and problems (e.g., choice of spatial scale, statistical issues, privacy concerns) and - where possible - suggest remedies. With increasing awareness of the potential that GIS tools hold for survey research, and intensified dialogue between researchers from both sides, more fruitful collaboration appears within reach. |
topic |
GIScience GIS tools socioecological psychology wearables social media |
url |
https://ojs.ub.uni-konstanz.de/srm/article/view/6733 |
work_keys_str_mv |
AT matthiasbluemke integratinggeographicinformationintosurveyresearchcurrentapplicationschallengesandfutureavenues AT berndresch integratinggeographicinformationintosurveyresearchcurrentapplicationschallengesandfutureavenues AT clemenslechner integratinggeographicinformationintosurveyresearchcurrentapplicationschallengesandfutureavenues AT renewesterholt integratinggeographicinformationintosurveyresearchcurrentapplicationschallengesandfutureavenues AT janphilippkolb integratinggeographicinformationintosurveyresearchcurrentapplicationschallengesandfutureavenues |
_version_ |
1725866792865234944 |