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| 1 | +/******************************************************************* |
| 2 | + * README * |
| 3 | + * geographic test dataset * |
| 4 | + * * |
| 5 | + * Authors: Luca Calderoni, University of Bologna * |
| 6 | + * Paolo Palmieri, University College Cork * |
| 7 | + * * |
| 8 | + * https://github.com/spatialbloomfilter/libSBF-testdatasets * |
| 9 | + *******************************************************************/ |
| 10 | + |
| 11 | +The included datasets are provided to enable the testing of the Spatial Bloom |
| 12 | +Filters implementations on a real geographical areas. |
| 13 | + |
| 14 | +The test datasets are based on several elements and areas. |
| 15 | + |
| 16 | +The datasets contain elements extracted from a conventional geospatial grid on |
| 17 | +a specified area. Each element represents a single cell of the grid. The grid |
| 18 | +is derived from the World Geodetic System (WGS84), with an arbitrary precision. |
| 19 | +The unique identifier of each cell is formed by the latitude and the longitude |
| 20 | +relative to the bottom left corner of the cell, separated by a hash '#' symbol. |
| 21 | +For instance, using a four digit precision, a cell may be represented by the |
| 22 | +identifier 00.0000#00.0000 |
| 23 | + |
| 24 | +FILES CONTENT |
| 25 | +- - - - - - |
| 26 | +vatican-city-0001.csv An area covering the Vatican City. The dataset specifies |
| 27 | + 4 areas of interest (AoI); the first value in the CSV is |
| 28 | + the area identifier, the second (separated by a comma) |
| 29 | + is the element (using the convention outlined above). |
| 30 | + |
| 31 | +For each of the files above, two graphical PDF files representing the mapped |
| 32 | +geographical area are also included. The first file shows the map with an |
| 33 | +overlay consisting of the World Geodetic System projections (WGS84). The second |
| 34 | +file also shows the Areas of Interest (AoI) mapped into the dataset. |
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