Measuring Similarity of Deforestation Patterns in Time and Space across Differences in Resolution
This article demonstrated an easily applicable method for measuring the similarity between a pair of point patterns, which applies to spatial or temporal data sets. Such a measurement was performed using similarity-based pattern analysis as an alternative to conventional approaches, which typically...
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| Format: | Article |
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MDPI AG
2021-11-01
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| Series: | Geomatics |
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| Online Access: | https://www.mdpi.com/2673-7418/1/4/27 |
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| author | Desi Suyamto Lilik Prasetyo Yudi Setiawan Arief Wijaya Kustiyo Kustiyo Tatik Kartika Hefni Effendi Prita Permatasari |
| author_facet | Desi Suyamto Lilik Prasetyo Yudi Setiawan Arief Wijaya Kustiyo Kustiyo Tatik Kartika Hefni Effendi Prita Permatasari |
| author_sort | Desi Suyamto |
| collection | DOAJ |
| description | This article demonstrated an easily applicable method for measuring the similarity between a pair of point patterns, which applies to spatial or temporal data sets. Such a measurement was performed using similarity-based pattern analysis as an alternative to conventional approaches, which typically utilize straightforward point-to-point matching. Using our approach, in each point data set, two geometric features (i.e., the distance and angle from the centroid) were calculated and represented as probability density functions (PDFs). The PDF similarity of each geometric feature was measured using nine metrics, with values ranging from zero (very contrasting) to one (exactly the same). The overall similarity was defined as the average of the distance and angle similarities. In terms of sensibility, the method was shown to be capable of measuring, at a human visual sensing level, two pairs of hypothetical patterns, presenting reasonable results. Meanwhile, in terms of the method′s sensitivity to both spatial and temporal displacements from the hypothetical origin, the method is also capable of consistently measuring the similarity of spatial and temporal patterns. The application of the method to assess both spatial and temporal pattern similarities between two deforestation data sets with different resolutions was also discussed. |
| first_indexed | 2024-03-10T04:01:36Z |
| format | Article |
| id | doaj.art-92d91e5994f54a6f95997348f483747c |
| institution | Directory Open Access Journal |
| issn | 2673-7418 |
| language | English |
| last_indexed | 2024-03-10T04:01:36Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Geomatics |
| spelling | doaj.art-92d91e5994f54a6f95997348f483747c2023-11-23T08:32:09ZengMDPI AGGeomatics2673-74182021-11-011446449510.3390/geomatics1040027Measuring Similarity of Deforestation Patterns in Time and Space across Differences in ResolutionDesi Suyamto0Lilik Prasetyo1Yudi Setiawan2Arief Wijaya3Kustiyo Kustiyo4Tatik Kartika5Hefni Effendi6Prita Permatasari7Center for Environmental Science of IPB University (PPLH), PPLH Building, Jalan Lingkar Akademik, IPB University, Dramaga, Bogor 16680, IndonesiaDepartment of Forest Resources Conservation and Ecotourism, Faculty of Forestry, IPB University, Dramaga, Bogor 16680, IndonesiaDepartment of Forest Resources Conservation and Ecotourism, Faculty of Forestry, IPB University, Dramaga, Bogor 16680, IndonesiaWorld Resources Institute Indonesia (WRI Indonesia), Wisma PMI Building 7th Floor, Jalan Wijaya I, No. 63, Kebayoran Baru, Jakarta 12170, IndonesiaCenter for Remote Sensing Technology and Data, Deputy of Remote Sensing Affairs, Indonesian National Institute of Aeronautics and Space (LAPAN), Jalan LAPAN No. 70, Pekayon, Pasar Rebo, Jakarta 13710, IndonesiaCenter for Remote Sensing Technology and Data, Deputy of Remote Sensing Affairs, Indonesian National Institute of Aeronautics and Space (LAPAN), Jalan LAPAN No. 70, Pekayon, Pasar Rebo, Jakarta 13710, IndonesiaCenter for Environmental Science of IPB University (PPLH), PPLH Building, Jalan Lingkar Akademik, IPB University, Dramaga, Bogor 16680, IndonesiaCenter for Environmental Science of IPB University (PPLH), PPLH Building, Jalan Lingkar Akademik, IPB University, Dramaga, Bogor 16680, IndonesiaThis article demonstrated an easily applicable method for measuring the similarity between a pair of point patterns, which applies to spatial or temporal data sets. Such a measurement was performed using similarity-based pattern analysis as an alternative to conventional approaches, which typically utilize straightforward point-to-point matching. Using our approach, in each point data set, two geometric features (i.e., the distance and angle from the centroid) were calculated and represented as probability density functions (PDFs). The PDF similarity of each geometric feature was measured using nine metrics, with values ranging from zero (very contrasting) to one (exactly the same). The overall similarity was defined as the average of the distance and angle similarities. In terms of sensibility, the method was shown to be capable of measuring, at a human visual sensing level, two pairs of hypothetical patterns, presenting reasonable results. Meanwhile, in terms of the method′s sensitivity to both spatial and temporal displacements from the hypothetical origin, the method is also capable of consistently measuring the similarity of spatial and temporal patterns. The application of the method to assess both spatial and temporal pattern similarities between two deforestation data sets with different resolutions was also discussed.https://www.mdpi.com/2673-7418/1/4/27deforestation hotspotsgeneric methodsimilarityspatial patterntemporal pattern |
| spellingShingle | Desi Suyamto Lilik Prasetyo Yudi Setiawan Arief Wijaya Kustiyo Kustiyo Tatik Kartika Hefni Effendi Prita Permatasari Measuring Similarity of Deforestation Patterns in Time and Space across Differences in Resolution Geomatics deforestation hotspots generic method similarity spatial pattern temporal pattern |
| title | Measuring Similarity of Deforestation Patterns in Time and Space across Differences in Resolution |
| title_full | Measuring Similarity of Deforestation Patterns in Time and Space across Differences in Resolution |
| title_fullStr | Measuring Similarity of Deforestation Patterns in Time and Space across Differences in Resolution |
| title_full_unstemmed | Measuring Similarity of Deforestation Patterns in Time and Space across Differences in Resolution |
| title_short | Measuring Similarity of Deforestation Patterns in Time and Space across Differences in Resolution |
| title_sort | measuring similarity of deforestation patterns in time and space across differences in resolution |
| topic | deforestation hotspots generic method similarity spatial pattern temporal pattern |
| url | https://www.mdpi.com/2673-7418/1/4/27 |
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