Who’s in? Lifestyle data and geographical research
Lifestyle databases offer up-to-date, geographically relevant data about individuals. Yet, their application has been slow to extended beyond marketing and into geographical research. This apparent paradox is considered with reference to geocomputation. The unknown quality of the data generates appr...
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| Format: | Article |
| Language: | deu |
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Unité Mixte de Recherche 8504 Géographie-cités
2000-02-01
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| Series: | Cybergeo |
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| Online Access: | https://journals.openedition.org/cybergeo/4343 |
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| _version_ | 1849236368759193600 |
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| author | Richard Harris |
| author_facet | Richard Harris |
| author_sort | Richard Harris |
| collection | DOAJ |
| description | Lifestyle databases offer up-to-date, geographically relevant data about individuals. Yet, their application has been slow to extended beyond marketing and into geographical research. This apparent paradox is considered with reference to geocomputation. The unknown quality of the data generates apprehension amongst potential users. Respondents to lifestyle surveys are self-selecting, creating bias in the dataset. Young adults are identified as least likely to return a survey and pensioners more likely. The level of population coverage achieved by the survey varies geographically. Hence, whilst lifestyles offer rich sources of micro-level data to cross-validate or supplement Census-based analysis, greater scientific credential remains as a pre-cursor to academic acceptance. |
| format | Article |
| id | doaj-art-e5164bb9628b4531994660802bfbf220 |
| institution | Kabale University |
| issn | 1278-3366 |
| language | deu |
| publishDate | 2000-02-01 |
| publisher | Unité Mixte de Recherche 8504 Géographie-cités |
| record_format | Article |
| series | Cybergeo |
| spelling | doaj-art-e5164bb9628b4531994660802bfbf2202025-08-20T04:02:17ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33662000-02-0110.4000/cybergeo.4343Who’s in? Lifestyle data and geographical researchRichard HarrisLifestyle databases offer up-to-date, geographically relevant data about individuals. Yet, their application has been slow to extended beyond marketing and into geographical research. This apparent paradox is considered with reference to geocomputation. The unknown quality of the data generates apprehension amongst potential users. Respondents to lifestyle surveys are self-selecting, creating bias in the dataset. Young adults are identified as least likely to return a survey and pensioners more likely. The level of population coverage achieved by the survey varies geographically. Hence, whilst lifestyles offer rich sources of micro-level data to cross-validate or supplement Census-based analysis, greater scientific credential remains as a pre-cursor to academic acceptance.https://journals.openedition.org/cybergeo/43431991 UK Censusgeocomputationlifestyle |
| spellingShingle | Richard Harris Who’s in? Lifestyle data and geographical research Cybergeo 1991 UK Census geocomputation lifestyle |
| title | Who’s in? Lifestyle data and geographical research |
| title_full | Who’s in? Lifestyle data and geographical research |
| title_fullStr | Who’s in? Lifestyle data and geographical research |
| title_full_unstemmed | Who’s in? Lifestyle data and geographical research |
| title_short | Who’s in? Lifestyle data and geographical research |
| title_sort | who s in lifestyle data and geographical research |
| topic | 1991 UK Census geocomputation lifestyle |
| url | https://journals.openedition.org/cybergeo/4343 |
| work_keys_str_mv | AT richardharris whosinlifestyledataandgeographicalresearch |