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The Influence Of Landscape Variation On Landform Categorization, Maia Williams, Werner Kuhn, Marco Painho
The Influence Of Landscape Variation On Landform Categorization, Maia Williams, Werner Kuhn, Marco Painho
Journal of Spatial Information Science
This paper compares the landform vocabularies of residents from two regions in Portugal. Participants described both their own and the other less familiar landscapes in response to video footage of the regions. The results indicate that participants used more detailed vocabularies to describe the known landscape compared to the less familiar study site with detail triggered by individual place recognition. A relationship between landform lexica content and landscape type was observed in the relative placement of detail within each vocabulary. The observed drivers of categorization were the salient features of the landscape (elevation and land cover) and utilitarian motivations (land …
Geosensor Data Representation Using Layered Slope Grids Sensors., Yongmi Lee, Young Jin Jung, Kwang Woo Nam, Silvia Nittel Editor, Mary-Kate Beard-Tisdale, Keun Ho Ryu
Geosensor Data Representation Using Layered Slope Grids Sensors., Yongmi Lee, Young Jin Jung, Kwang Woo Nam, Silvia Nittel Editor, Mary-Kate Beard-Tisdale, Keun Ho Ryu
Publications
Environmental monitoring applications are designed for supplying derived and often integrated information by tracking and analyzing phenomena. To determine the condition of a target place, they employ a geosensor network to get the heterogeneous sensor data. To effectively handle a large volume of sensor data, applications need a data abstraction model, which supports the summarized data representation by encapsulating raw data. For faster data processing to answer a user’s queries with representative attributes of an abstracted model, we propose such a data abstraction model, the Layered Slopes in Grid for Sensor Data Abstraction (LSGSA), which is based on the SGSA. …