Morphology,the study of shapes or forms,when applied to tourism,emphasizes the multifarious spatial practices between morphological elements and tourism activities.However,existing literature on morphology in the cont...Morphology,the study of shapes or forms,when applied to tourism,emphasizes the multifarious spatial practices between morphological elements and tourism activities.However,existing literature on morphology in the context of tourism usually only focuses on a single or a limited number of study areas,overlooking common or even universal patterns across various tourism destinations.To address this gap,we utilize geospatial big data and present a case study on the morphology of 406“AAAAA”-rated scenic areas in China.A framework based on“points”,“lines”,“planes”,and“solids”was designed to systematically organize and analyze morphological elements across scenic areas.The findings provide valuable insights for tourism planning and development,such as the co-occurrence of dense road networks and fragmented landscapes within scenic areas,as well as the resourcecontext-influenced(cultural or natural)associations between morphological features and tourism indicators.This research provides valuable strategic guidance for more effective and informed tourism development while acknowledging the trade-offs between generalizability and local specificity.展开更多
Digital Earth frameworks provide a way to integrate,analyze,and visualize large volumes of geospatial data,and the foundation of such frameworks is the Discrete Global Grid System(DGGS).One approach in particular,the ...Digital Earth frameworks provide a way to integrate,analyze,and visualize large volumes of geospatial data,and the foundation of such frameworks is the Discrete Global Grid System(DGGS).One approach in particular,the rHEALPix DGGS,has the rare property of distribution of cell nuclei along rings of constant latitude(or isolatitude rings).However,this property is yet to be explored.In this paper,we extend existing work on the rHEALPix DGGS by proposing a method to determine the isolatitude ring on which the nucleus of a given cell falls by converting a cell identifier to isolatitude ring without recourse to geodetic coordinates.In addition,we present an efficient method to calculate the geodetic latitude of a cell’s nucleus via its associated isolatitude ring.Lastly,we use the proposed methods to demonstrate how the isolatitude property of the rHEALPix DGGS can be utilized to facilitate latitudinal data analysis at multiple resolutions.展开更多
基金Yunnan Provincial Science and Technology Project at Southwest United Graduate School,No.202302AO370012National Natural Science Foundation of China,No.42401510Postdoctoral Fellowship Program of CPSF,No.GZC20240017。
文摘Morphology,the study of shapes or forms,when applied to tourism,emphasizes the multifarious spatial practices between morphological elements and tourism activities.However,existing literature on morphology in the context of tourism usually only focuses on a single or a limited number of study areas,overlooking common or even universal patterns across various tourism destinations.To address this gap,we utilize geospatial big data and present a case study on the morphology of 406“AAAAA”-rated scenic areas in China.A framework based on“points”,“lines”,“planes”,and“solids”was designed to systematically organize and analyze morphological elements across scenic areas.The findings provide valuable insights for tourism planning and development,such as the co-occurrence of dense road networks and fragmented landscapes within scenic areas,as well as the resourcecontext-influenced(cultural or natural)associations between morphological features and tourism indicators.This research provides valuable strategic guidance for more effective and informed tourism development while acknowledging the trade-offs between generalizability and local specificity.
基金funded by the Natural Sciences and Engineering Research Council of Canada(NSERC).
文摘Digital Earth frameworks provide a way to integrate,analyze,and visualize large volumes of geospatial data,and the foundation of such frameworks is the Discrete Global Grid System(DGGS).One approach in particular,the rHEALPix DGGS,has the rare property of distribution of cell nuclei along rings of constant latitude(or isolatitude rings).However,this property is yet to be explored.In this paper,we extend existing work on the rHEALPix DGGS by proposing a method to determine the isolatitude ring on which the nucleus of a given cell falls by converting a cell identifier to isolatitude ring without recourse to geodetic coordinates.In addition,we present an efficient method to calculate the geodetic latitude of a cell’s nucleus via its associated isolatitude ring.Lastly,we use the proposed methods to demonstrate how the isolatitude property of the rHEALPix DGGS can be utilized to facilitate latitudinal data analysis at multiple resolutions.
