Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps
Unstructured geo-text annotations volunteered by users of web map services enrich the basic geographic data. However, irrelevant geo-texts can be added to the web map, and these geo-texts reduce utility to users. Therefore, this study proposes a method to detect uncorrelated geo-text annotations bas...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-06-01
|
| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/9/6/381 |
| _version_ | 1797565732443127808 |
|---|---|
| author | Yufeng He Yehua Sheng Yunqing Jing Yue Yin Ahmad Hasnain |
| author_facet | Yufeng He Yehua Sheng Yunqing Jing Yue Yin Ahmad Hasnain |
| author_sort | Yufeng He |
| collection | DOAJ |
| description | Unstructured geo-text annotations volunteered by users of web map services enrich the basic geographic data. However, irrelevant geo-texts can be added to the web map, and these geo-texts reduce utility to users. Therefore, this study proposes a method to detect uncorrelated geo-text annotations based on Voronoi k-order neighborhood partition and auto-correlation statistical models. On the basis of the geo-text classification and semantic vector transformation, a quantitative description method for spatial autocorrelation was established by the Voronoi weighting method of inverse vicinity distance. The Voronoi k-order neighborhood self-growth strategy was used to detect the minimum convergence neighborhood for spatial autocorrelation. The Pearson method was used to calculate the correlation degree of the geo-text in the convergence region and then deduce the type of geo-text to be filtered. Experimental results showed that for given geo-text types in the study region, the proposed method effectively calculated the correlation between new geo-texts and the convergence region, providing an effective suggestion for preventing uncorrelated geo-text from uploading to the web map environment. |
| first_indexed | 2024-03-10T19:17:11Z |
| format | Article |
| id | doaj.art-adb921b9f18c47248584a15cda0bcb99 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T19:17:11Z |
| publishDate | 2020-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-adb921b9f18c47248584a15cda0bcb992023-11-20T03:20:22ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-06-019638110.3390/ijgi9060381Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web MapsYufeng He0Yehua Sheng1Yunqing Jing2Yue Yin3Ahmad Hasnain4School of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaUnstructured geo-text annotations volunteered by users of web map services enrich the basic geographic data. However, irrelevant geo-texts can be added to the web map, and these geo-texts reduce utility to users. Therefore, this study proposes a method to detect uncorrelated geo-text annotations based on Voronoi k-order neighborhood partition and auto-correlation statistical models. On the basis of the geo-text classification and semantic vector transformation, a quantitative description method for spatial autocorrelation was established by the Voronoi weighting method of inverse vicinity distance. The Voronoi k-order neighborhood self-growth strategy was used to detect the minimum convergence neighborhood for spatial autocorrelation. The Pearson method was used to calculate the correlation degree of the geo-text in the convergence region and then deduce the type of geo-text to be filtered. Experimental results showed that for given geo-text types in the study region, the proposed method effectively calculated the correlation between new geo-texts and the convergence region, providing an effective suggestion for preventing uncorrelated geo-text from uploading to the web map environment.https://www.mdpi.com/2220-9964/9/6/381geo-textspatial autocorrelationVoronoi k-ordervolunteered geographic informationsemantic analysistext auto-classification |
| spellingShingle | Yufeng He Yehua Sheng Yunqing Jing Yue Yin Ahmad Hasnain Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps ISPRS International Journal of Geo-Information geo-text spatial autocorrelation Voronoi k-order volunteered geographic information semantic analysis text auto-classification |
| title | Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps |
| title_full | Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps |
| title_fullStr | Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps |
| title_full_unstemmed | Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps |
| title_short | Uncorrelated Geo-Text Inhibition Method Based on Voronoi K-Order and Spatial Correlations in Web Maps |
| title_sort | uncorrelated geo text inhibition method based on voronoi k order and spatial correlations in web maps |
| topic | geo-text spatial autocorrelation Voronoi k-order volunteered geographic information semantic analysis text auto-classification |
| url | https://www.mdpi.com/2220-9964/9/6/381 |
| work_keys_str_mv | AT yufenghe uncorrelatedgeotextinhibitionmethodbasedonvoronoikorderandspatialcorrelationsinwebmaps AT yehuasheng uncorrelatedgeotextinhibitionmethodbasedonvoronoikorderandspatialcorrelationsinwebmaps AT yunqingjing uncorrelatedgeotextinhibitionmethodbasedonvoronoikorderandspatialcorrelationsinwebmaps AT yueyin uncorrelatedgeotextinhibitionmethodbasedonvoronoikorderandspatialcorrelationsinwebmaps AT ahmadhasnain uncorrelatedgeotextinhibitionmethodbasedonvoronoikorderandspatialcorrelationsinwebmaps |