Highly scalable four-dimensional geospatial data system for simulated worlds
A system and method for providing time-series geospatial data and a world-scale simulation platform used to generate simulated-world environments by rendering data-dense geographical regions corresponding to heterogenous sourced data and formats for highly scalable parallel simulations, and comprised of a multi-dimensional time-series database used for enabling query support across multiple simulations via individual simulation and entity swimlanes for cyber, physical and cyber-physical entities and regions.
1. A system for data-dense geographical regions using heterogenous source data and formats for enabling highly scalable parallel world simulations, comprising:
a computer system comprising a memory and a processor;
an indexed geospatial tile subsystem, comprising a first plurality of programming instructions stored in the memory and operating on the processor, wherein the first plurality of programming instructions, when operating on the processor, cause the computer system to:
retrieve a plurality of geospatial image tiles corresponding to a geographic region;
retrieve a plurality of geotagged data corresponding to the geographic region;
calculate a geohash for each piece of retrieved geotagged data, wherein a geohash is an encoded geographic location comprising a short string of letters and digits; and
overlay the geohash on the corresponding geospatial image tile containing the geographic coordinates of the geohash;
a geospatial action outcome simulation subsystem, comprising a second plurality of programming instructions stored in the memory and operating on the processor, wherein the second plurality of programming instructions, when operating on the processor, cause the computer system to:
execute geospatial simulations for each of a plurality of unique process swimlanes; and
a multidimensional time-series database, comprising a third plurality of programming instructions that, when operating on the processor, cause the computer system to assign each geographic region and the corresponding retrieved data to a unique process swimlane; and
an application interface subsystem, comprising a fourth plurality of programming instructions stored in the memory and operating on the processor, wherein the third plurality of programming instructions, when operating on the processor, cause the computer system to:
render at least one of the geospatial simulations to a user interface; perform at least one query on at least one of the geospatial simulations; and retrieve map overlay data for at least one of the geospatial simulations.
2. The system of claim 1 , wherein the geohash comprises three keywords that identify a specific location in a local geospatial region.
3. The system of claim 1 , wherein geospatial image tiles are vector tiles.
4. The system of claim 1 , wherein the geospatial image tiles are raster tiles.
5. The system of claim 1 , wherein at least of portion of the geospatial tiles correspond to the time progression of the predictive analyses carried out by the operating system.
6. The system of claim 1 , wherein the geohashes are hyperlinks to datasets.
7. The system of claim 1 , wherein the plurality of geotagged data comprises data from sensors.
8. The system of claim 1 , further comprising filters that refine overlay map data, data sets, and data sources.
9. The system of claim 8 , further comprising filters for time-series data.
10. A method for data-dense geographical regions that using heterogenous source data and formats for enabling highly scalable parallel world simulations, comprising the steps of:
using an indexed geospatial tile subsystem of a computing system comprising a processor and a memory:
retrieving a plurality of geospatial image tiles corresponding to a geographic region from a plurality of sources;
retrieving a plurality of geotagged data corresponding to the geographic region;
calculating a geohash for each piece of retrieved geotagged data, wherein a geohash is an encoded geographic location comprising a short string of letters and digits; and
overlaying the geohash on the corresponding geospatial image tile containing the geographic coordinates of the geohash;
using an indexed geospatial tile subsystem:
executing geospatial simulations for each unique process swimlane in the multidimensional time-series database; and
rendering at least one of the geospatial simulations on a web interface;
using geospatial action outcome simulation subsystem:
performing at least one query on at least one of the geospatial simulations;
using a multidimensional time-series database subsystem:
assigning each geographic region and the corresponding retrieved data to a unique process swimlane; and
using an application interface subsystem:
rendering at least one of the geospatial simulations to a user interface;
performing at least one query on at least one of the geospatial simulations; and
retrieve map overlay data for at least one of the geospatial simulations.
11. The method of claim 10 , wherein the geohash comprises three keywords that identify a specific location in a local geospatial region.
12. The method of claim 10 , wherein geospatial image tiles are vector tiles.
13. The method of claim 10 , wherein the geospatial image tiles are raster tiles.
14. The method of claim 10 , wherein at least a portion of the geospatial tiles correspond to the time progression of the predictive analyses carried out by operating system.
15. The method of claim 10 , wherein the geohashes are hyperlinks to datasets.
16. The method of claim 10 , wherein the plurality of geotagged data comprises data from sensors.
17. The method of claim 10 , further comprising filters that refine overlay map data, data sets, and data sources.
18. The system of claim 17 , further comprising filters for time-series data.