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| Content Provider | Springer Nature Link |
|---|---|
| Author | Porat, Idan Shoshany, Maxim Frenkel, Amn |
| Copyright Year | 2011 |
| Abstract | A new two-phase temporal-spatial analysis technique is presented for exploring core areas of re-urbanization in complex patterns of urban change. The Local Autocorrelation of Pearson (LAoP) technique first computes temporal Pearson correlations between time series of data for each sub-area and the city’s average time series and then computes the local Moran autocorrelation (LISA) of these temporal correlations. This technique was implemented on Construction Initiation (CI) data for the city Tel Aviv-Yafo since the mid 1970s, where complex patterns evolved through spontaneous socio-economic processes, individual and corporate behavior and local and national planning policies. Comparing the results from the temporal-spatial autocorrelation analysis on CI data, with those of the accumulated built-up areas enhances the understanding of the patterns of re-urbanization in Tel Aviv-Yafo and the detection of new core areas of development. |
| Starting Page | 137 |
| Ending Page | 155 |
| Page Count | 19 |
| File Format | |
| ISSN | 1874463X |
| Journal | Applied Spatial Analysis and Policy |
| Volume Number | 5 |
| Issue Number | 2 |
| e-ISSN | 18744621 |
| Language | English |
| Publisher | Springer Netherlands |
| Publisher Date | 2011-04-15 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Pearson correlation Moran I Construction initiation Complex pattern Regional/Spatial Science Human Geography Landscape/Regional and Urban Planning |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geography, Planning and Development |
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