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Where can I find data on how users interact with web GIS?


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I’m developing a geospatial data viewer that connects to various services (WMS, WMTS). I have a server that clients connect to. When a client makes a request, I cache it on the server. However, I would like to start prefetching likely to be requested by the client tiles. In researching this I’ve come across many prefetching algorithms in research papers: Retrospective Adaptive Prefetch is a user driven algorithm that applies heuristics to recent user actions to determine what tiles need to be prefetched. Tile Prefetching Based on Previous k Movements prefetches tiles based on recent user movement. Distributed Caching System Based on Spatiotemporal applies a heuristic based on when user movements occurred.



The issue I’m running into is these all these algorithms require user interaction data to get started. Is there a source that has user interaction data with GIS sources? I know places like OpenStreetMap have data that shows the total amount each tile was accessed in a day, but they don’t share the user trace of accessing those tiles.



PS: I’m working in Python and it’s possible I’ve missed some great package that does geospatial prefetching tile prediction. Please let me know if you know of any easy solutions like this.










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    0















    I’m developing a geospatial data viewer that connects to various services (WMS, WMTS). I have a server that clients connect to. When a client makes a request, I cache it on the server. However, I would like to start prefetching likely to be requested by the client tiles. In researching this I’ve come across many prefetching algorithms in research papers: Retrospective Adaptive Prefetch is a user driven algorithm that applies heuristics to recent user actions to determine what tiles need to be prefetched. Tile Prefetching Based on Previous k Movements prefetches tiles based on recent user movement. Distributed Caching System Based on Spatiotemporal applies a heuristic based on when user movements occurred.



    The issue I’m running into is these all these algorithms require user interaction data to get started. Is there a source that has user interaction data with GIS sources? I know places like OpenStreetMap have data that shows the total amount each tile was accessed in a day, but they don’t share the user trace of accessing those tiles.



    PS: I’m working in Python and it’s possible I’ve missed some great package that does geospatial prefetching tile prediction. Please let me know if you know of any easy solutions like this.










    share|improve this question







    New contributor




    Aoradon is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























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      0








      I’m developing a geospatial data viewer that connects to various services (WMS, WMTS). I have a server that clients connect to. When a client makes a request, I cache it on the server. However, I would like to start prefetching likely to be requested by the client tiles. In researching this I’ve come across many prefetching algorithms in research papers: Retrospective Adaptive Prefetch is a user driven algorithm that applies heuristics to recent user actions to determine what tiles need to be prefetched. Tile Prefetching Based on Previous k Movements prefetches tiles based on recent user movement. Distributed Caching System Based on Spatiotemporal applies a heuristic based on when user movements occurred.



      The issue I’m running into is these all these algorithms require user interaction data to get started. Is there a source that has user interaction data with GIS sources? I know places like OpenStreetMap have data that shows the total amount each tile was accessed in a day, but they don’t share the user trace of accessing those tiles.



      PS: I’m working in Python and it’s possible I’ve missed some great package that does geospatial prefetching tile prediction. Please let me know if you know of any easy solutions like this.










      share|improve this question







      New contributor




      Aoradon is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I’m developing a geospatial data viewer that connects to various services (WMS, WMTS). I have a server that clients connect to. When a client makes a request, I cache it on the server. However, I would like to start prefetching likely to be requested by the client tiles. In researching this I’ve come across many prefetching algorithms in research papers: Retrospective Adaptive Prefetch is a user driven algorithm that applies heuristics to recent user actions to determine what tiles need to be prefetched. Tile Prefetching Based on Previous k Movements prefetches tiles based on recent user movement. Distributed Caching System Based on Spatiotemporal applies a heuristic based on when user movements occurred.



      The issue I’m running into is these all these algorithms require user interaction data to get started. Is there a source that has user interaction data with GIS sources? I know places like OpenStreetMap have data that shows the total amount each tile was accessed in a day, but they don’t share the user trace of accessing those tiles.



      PS: I’m working in Python and it’s possible I’ve missed some great package that does geospatial prefetching tile prediction. Please let me know if you know of any easy solutions like this.







      python cache






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      asked 28 mins ago









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