meta.rtf

2019-09-04 <br> The repository contain 3 <b>folders</b>: <br> * Scripts (R-scripts to generate centroids based on Aboufadel and Austin method and Barmore method. Also, included is R-script to generate the area/distance plot found in the paper. <br> * AboufadelAustin (Output data from Aboufadel and Austin method) <br> * Barmore (Output data from Barmore method) <br> <br> <b>File formats</b> <br> Following files belong to ESRI vector data storage format (shape files). <br> .shp — shape format; the feature geometry itself .shx — shape index format; a positional index of the feature geometry to allow seeking forwards and backwards quickly .dbf — attribute format; columnar attributes for each shape, in dBase IV format .prj — projection description .sbn and .sbx — a spatial indexof the features .shp.xml — geospatial metadata in XML format .cpg — used to specify the code page for .dbf or identifying the character encoding to be used <br> Tabular data file format Comma separated values file (CSV) <br> In each of the .shp, .shx, and .dbf files, the shapes in each file correspond to each other in sequence (i.e., the first record in the .shp file corresponds to the first record in the .shx and .dbf files, etc.). https://en.wikipedia.org/wiki/Shapefile <br> <br> <b>Files in AboufadelAustin and Barmore folders</b> <br> The centroid datasets created were separated by algorithm (Aboufadel or Barmore), year (1992-2013), and GADM (Database of Global Administrative Areas) level (0, 1 and 2). <br> In total 132 different datasets were created each including a quality flag for each centroid point. Since each dataset is small in terms of storage they are grouped by algorithm and GADM level making the resulting data files 6 in total (3 shapefiles and 3 CSV-files). <br> Centroids that did not fall within the corresponding administrative area were flagged, as were administrative areas that did not have a corresponding centre. In each shapefile (adm0, adm1, adm2) the field OUT_FLAG is used to store the flag value. In addition, there are three corresponding CSV-files, which in tabular form report on unplaced centroids. The user can then decide how to proceed with the handling of unplaced centroids based on the specific user needs and application at hand. <br> As an example, in the aboufadel folder there are 3 shapefiles for year 1992 providing centroids for administrative levels 0, 1 and 2. In addition, there are 3 textfiles (.CSV) reporting on unplaced centroids for each administrative level. <br> <b>In the file name</b>; DMSP_xxxx corresponds to the year of nighttime lights data, e.g. DMSP_1992 _gadm28_ is the Database of Global Administrative Areas version 2.8, _admx_ is administrative level number, 0, 1 or 2. e.g, _adm0_, _name is the corresponding method, e.g. Barmore, and _gcs_that a geographic coordinate system is used. <br> <br> <br> Ola Hall, Department of Human Geography, Lund University ([e-mail])