GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID

Mobile GIS is introduced to reduce the time taken in completing the field data collection procedure. With the expansion of technology today, mobile GIS is not far behind. It can be integrated with the high-end innovation tools like smartphones. Spatial data capture which deemed to be the toughest st...

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Main Authors: Naharudin, N., Ahamad, M. S. S., Sadullah, A. F. M.
Format: Article
Language:English
Published: Natural Resources Canada 2016
Subjects:
Online Access:http://eprints.usm.my/36989/1/%28GIS_DATA_COLLECTION_FOR_PEDESTRIAN%29_isprs-archives-XLII-4-W1-89-2016.pdf
http://eprints.usm.my/36989/
https://doi.org/10.5194/isprs-archives-XLII-4-W1-89-2016
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spelling my.usm.eprints.36989 http://eprints.usm.my/36989/ GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID Naharudin, N. Ahamad, M. S. S. Sadullah, A. F. M. TA1-2040 Engineering (General). Civil engineering (General) Mobile GIS is introduced to reduce the time taken in completing the field data collection procedure. With the expansion of technology today, mobile GIS is not far behind. It can be integrated with the high-end innovation tools like smartphones. Spatial data capture which deemed to be the toughest stage of a GIS project is made simple with this method. Many studies had demonstrated the usage of mobile GIS in collecting spatial data and this paper discusses how it can be applied in capturing the GPS location of pedestrian furniture and facilities. Although some of the spatial data are available from local agencies, still a more detailed data is needed to create a better data model for this study. This study uses a free android application, MAPinr, which is available on the Google PlayStore to collect spatial data on site. It adopted the GNSS and cellular network positioning to locate the position of the required data. As the application allows the captured data to be exported to a GIS platform, the geometric error of the data was improved. In the end, an authenticated spatial dataset comprising pedestrian facilities and furniture in point and line form will be produced and later be used in a pedestrian network analysis study. Natural Resources Canada 2016 Article PeerReviewed application/pdf en http://eprints.usm.my/36989/1/%28GIS_DATA_COLLECTION_FOR_PEDESTRIAN%29_isprs-archives-XLII-4-W1-89-2016.pdf Naharudin, N. and Ahamad, M. S. S. and Sadullah, A. F. M. (2016) GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID. International Archives of Photogrammetry Remote Sensing and Spatial Information Sciences, XLII (4/W1). pp. 89-95. ISSN 1682-1750 https://doi.org/10.5194/isprs-archives-XLII-4-W1-89-2016
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic TA1-2040 Engineering (General). Civil engineering (General)
spellingShingle TA1-2040 Engineering (General). Civil engineering (General)
Naharudin, N.
Ahamad, M. S. S.
Sadullah, A. F. M.
GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID
description Mobile GIS is introduced to reduce the time taken in completing the field data collection procedure. With the expansion of technology today, mobile GIS is not far behind. It can be integrated with the high-end innovation tools like smartphones. Spatial data capture which deemed to be the toughest stage of a GIS project is made simple with this method. Many studies had demonstrated the usage of mobile GIS in collecting spatial data and this paper discusses how it can be applied in capturing the GPS location of pedestrian furniture and facilities. Although some of the spatial data are available from local agencies, still a more detailed data is needed to create a better data model for this study. This study uses a free android application, MAPinr, which is available on the Google PlayStore to collect spatial data on site. It adopted the GNSS and cellular network positioning to locate the position of the required data. As the application allows the captured data to be exported to a GIS platform, the geometric error of the data was improved. In the end, an authenticated spatial dataset comprising pedestrian facilities and furniture in point and line form will be produced and later be used in a pedestrian network analysis study.
format Article
author Naharudin, N.
Ahamad, M. S. S.
Sadullah, A. F. M.
author_facet Naharudin, N.
Ahamad, M. S. S.
Sadullah, A. F. M.
author_sort Naharudin, N.
title GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID
title_short GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID
title_full GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID
title_fullStr GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID
title_full_unstemmed GIS DATA COLLECTION FOR PEDESTRIAN FACILITIES AND FURNITURE USING MAPINR FOR ANDROID
title_sort gis data collection for pedestrian facilities and furniture using mapinr for android
publisher Natural Resources Canada
publishDate 2016
url http://eprints.usm.my/36989/1/%28GIS_DATA_COLLECTION_FOR_PEDESTRIAN%29_isprs-archives-XLII-4-W1-89-2016.pdf
http://eprints.usm.my/36989/
https://doi.org/10.5194/isprs-archives-XLII-4-W1-89-2016
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score 13.160551