A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization
As a result of the increasing popularity of indoor activities, many facilities and services are provided inside buildings; hence, there is a need to visualize points-of-interest (POIs) that can describe these indoor service facilities on indoor maps. Over the last few years, indoor mapping has been...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-04-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/9/4/239 |
| _version_ | 1797570863639298048 |
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| author | Yi Xiao Tinghua Ai Min Yang Xiang Zhang |
| author_facet | Yi Xiao Tinghua Ai Min Yang Xiang Zhang |
| author_sort | Yi Xiao |
| collection | DOAJ |
| description | As a result of the increasing popularity of indoor activities, many facilities and services are provided inside buildings; hence, there is a need to visualize points-of-interest (POIs) that can describe these indoor service facilities on indoor maps. Over the last few years, indoor mapping has been a rapidly developing area, with the emergence of many forms of indoor representation. In the design of indoor map applications, cartographical methodologies such as generalization and symbolization can make important contributions. In this study, a self-adaptive method is applied for the design of a multi-scale and personalized indoor map. Based on methods of map generalization and multi-scale representation, we adopt a scale-adaptive strategy to visualize the building structure and POI data on indoor maps. At smaller map scales, the general floor distribution and functional partitioning of each floor are represented, while the POI data are visualized by simple symbols. At larger map scales, the detailed room distribution is displayed, and the service information of the POIs is described by detailed symbols. Different strategies are used for the generalization of the background building structure and the foreground POI data to ensure that both can satisfy real-time performance requirements. In addition, for better personalization, different POI data, symbols or color schemes are shown to users in different age groups, with different genders or with different purposes for using the map. Because this indoor map is adaptive to both the scale and the user, each map scale can provide different map users with decision support from different perspectives. |
| first_indexed | 2024-03-10T20:31:29Z |
| format | Article |
| id | doaj.art-ea1805e7a08d455f8c310054ef71a9d9 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T20:31:29Z |
| publishDate | 2020-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-ea1805e7a08d455f8c310054ef71a9d92023-11-19T21:23:04ZengMDPI AGISPRS International Journal of Geo-Information2220-99642020-04-019423910.3390/ijgi9040239A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map VisualizationYi Xiao0Tinghua Ai1Min Yang2Xiang Zhang3School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaSchool of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, ChinaAs a result of the increasing popularity of indoor activities, many facilities and services are provided inside buildings; hence, there is a need to visualize points-of-interest (POIs) that can describe these indoor service facilities on indoor maps. Over the last few years, indoor mapping has been a rapidly developing area, with the emergence of many forms of indoor representation. In the design of indoor map applications, cartographical methodologies such as generalization and symbolization can make important contributions. In this study, a self-adaptive method is applied for the design of a multi-scale and personalized indoor map. Based on methods of map generalization and multi-scale representation, we adopt a scale-adaptive strategy to visualize the building structure and POI data on indoor maps. At smaller map scales, the general floor distribution and functional partitioning of each floor are represented, while the POI data are visualized by simple symbols. At larger map scales, the detailed room distribution is displayed, and the service information of the POIs is described by detailed symbols. Different strategies are used for the generalization of the background building structure and the foreground POI data to ensure that both can satisfy real-time performance requirements. In addition, for better personalization, different POI data, symbols or color schemes are shown to users in different age groups, with different genders or with different purposes for using the map. Because this indoor map is adaptive to both the scale and the user, each map scale can provide different map users with decision support from different perspectives.https://www.mdpi.com/2220-9964/9/4/239map generalizationPOI dataindoor mapadaptive visualizationmulti-scale |
| spellingShingle | Yi Xiao Tinghua Ai Min Yang Xiang Zhang A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization ISPRS International Journal of Geo-Information map generalization POI data indoor map adaptive visualization multi-scale |
| title | A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization |
| title_full | A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization |
| title_fullStr | A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization |
| title_full_unstemmed | A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization |
| title_short | A Multi-Scale Representation of Point-of-Interest (POI) Features in Indoor Map Visualization |
| title_sort | multi scale representation of point of interest poi features in indoor map visualization |
| topic | map generalization POI data indoor map adaptive visualization multi-scale |
| url | https://www.mdpi.com/2220-9964/9/4/239 |
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