An Approach for spatial and temporal data analysis: application for mobility modeling of workers in Luxembourg and its bordering areas
AbstractIn this paper, we propose a general visual analytic approach to synthesis very large spatial data and discover interesting knowledge and unknown patterns from complex data based on Origin-Destination (OD) matrices. The research studies of Tobler constitute a good basis in this topic. This paper is interested in the proposal of 2 methods entitled respectively ?Weighted Linear Directional Mean: WLDM? and ?DS-WLDM?. The latter incorporates the Dempster-Shafer theory of evidence with WLDM. Both of the developed methods are an extension of ?Linear Directional Mean: LDM? for mobility modeling. With classical techniques such as LDM among others, the results of data mapping are not intelligible and easy to interpret. However with both WLDM and DS-WLDM methods it is easy to discover knowledge without losing a lot of information which is one of the interests of this paper. This proposal is generic and it intends to be applied for data mapping such as for geographical presentation of social and demographic information (e.g. mobility of people, goods and information) according to multiple spatial scales (e.g. locality, district, municipality). It could be applied also in transportation field (e.g. traffic flow). For the application, administrative data is used in order to evaluate spatial and temporal aspects of the daily and the residential mobility of workers in Luxembourg and its bordering areas.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by CEPS/INSTEAD in its series CEPS/INSTEAD Working Paper Series with number 2010-16.
Length: 12 pages
Date of creation: Jul 2010
Date of revision:
Contact details of provider:
Postal: 3, avenue de la Fonte, L-4364 Esch-sur-Alzette, G.-D. Luxembourg
Phone: 00352 / 58 58 55 - 1
Fax: 00352 / 58 58 55 - 700
Web page: http://www.ceps.lu
More information through EDIRC
Mobility modeling; data mapping; spatial mobility; geographic knowledge discovery; location uncertainty; daily and residential mobility;
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-08-06 (All new papers)
- NEP-GEO-2010-08-06 (Economic Geography)
- NEP-URE-2010-08-06 (Urban & Real Estate Economics)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- OMRANI Hichem & CHARIF Omar & GERBER Philippe & BÓDIS Katalin & BASSE Reine Maria, 2012. "Simulation of land use changes using cellular automata and artificial neural network," CEPS/INSTEAD Working Paper Series 2012-01, CEPS/INSTEAD.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Begona Levices).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.