important factor that affects the efficiency of R-Tree retrieval. 1. With area as standard: that is, the two parts of the MBR and the smallest after splitting. However, the algorithm is based on the exhaustive, the time complexity is very large (exponentially).2. Square Cost algorithm: (approximate algorithm with time complexity squared)(1) First select the two rectangles in the same class that will be the most unlikely to be seeded after splitting, as the first rectangle in the two classes (2)
For example, we want to create an index for the geometry field of base_passenger_station. The specific statements are as follows. INSERT into User_sdo_geom_metadata (table_name,column_name,diminfo,srid) VALUES (' base_passenger_station ', ' GEOMETRY ', Mdsys. Sdo_dim_array (Mdsys. Sdo_dim_element (' X ', -180,180,0.005), Mdsys. Sdo_dim_element (' Y ', -90,90,0.005)), 4326); CREATE INDEX Base_pgr_station_geo
1. Lbs geo-Spatial indexAbout lbs related items, generally store the latitude and longitude coordinates of each location, if you want to query nearby sites, you need to set up an index to improve query efficiency. MongoDB establishes a geospatial index specifically for such queries. 2d and 2dsphere indexes.2. Create an indexSet up a places collection to store the
Tags: style blog color ar using SP data div onOracle spatial can easily store spatial data, and large amounts of spatial data must be queried using spatial indexes. Creating a spatial index in Oracle requires that metadata be esta
Tags: information es2017 Many techniques point ext find using PNGGeo-Spatial Index: A geospatial index that can be used to process geo-location-based queries. Point: Used to specify the exact location, we take restaurants as an example: Db.restaurants.insert ({name: "Citi", loc: {type: "point", Coordinates: [52.37, 5.21]}}) Db.restaurants.insert ({name: "SAP", l
, starting from 0);
Finally, with BASE32 encoding, binary string corresponding decimal is 28, 29, 4, 24, 27, 6, 1, 22, converted to Base32 is wx4sv61q, so that (40.222012, 116.248283) encoded as wx4sv61q. (The following diagram describes the corresponding relationship between base32)
The encoded wx4sv61q on the map corresponds to the following figure:
Here we geohash the coding length of 8, when the accuracy is 19 meters, the following table lists the different encoding length correspondi
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