Marble/NaturalEarth: Difference between revisions

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Some possibilities for the file format are:
Some possibilities for the file format are:
1) Adapt the existing PNT format used for MWDBII to have a higher degree of accuracy and add an attributes table
* Adapt the existing PNT format used for MWDBII to have a higher degree of accuracy and add an attributes table
2) Use the existing Marble cache format which will be faster but the size efficiency may not be sufficient
* Use the existing Marble cache format which will be faster but the size efficiency may not be sufficient
3) Use shapefile by implementing a lightweight parser without dbf support but our own simple attribute table.
* Use shapefile by implementing a lightweight parser without dbf support but our own simple attribute table.


The zoom level problem can be solved by either:
The zoom level problem can be solved by either:
1) Calculate a zoom level for each point during the file conversion and save it in the new file format.  The Douglas-Peucker algorithm may work here.
* Calculate a zoom level for each point during the file conversion and save it in the new file format.
2) Improve the vector drawing layer to calculate the zoom level on the fly
* Improve the vector drawing layer to calculate the zoom level on the fly, which would benefit all vector drawing but may be too slow.
 
Option 1 seems more efficient and achievable, but option 2 would benefit all vector drawing in Marble.
 
 


The Douglas-Peucker algorithm may be able to be used here.


Some pros/cons to consider:
Some pros/cons to consider:


The 1:10m country file is 6.55MB and contains 533,202 points = 12.28  
* The 1:10m country file is 6.55MB and contains 533,202 points = 12.28  
bytes/point compared to the PNT which is 745KB and contains 127,246 points  =  
bytes/point compared to the PNT which is 745KB and contains 127,246 points  =  
5.85 bytes/point, which would suggest the NE data in PNT format would be half  
5.85 bytes/point, which would suggest the NE data in PNT format would be half  
Line 52: Line 49:
application of Douglas-Peucker.
application of Douglas-Peucker.


The NE shapefiles have been carefully processed so shared borders and  
* The NE shapefiles have been carefully processed so shared borders and  
overlapping features like rivers match exactly and other such niceties,  
overlapping features like rivers match exactly and other such niceties,  
applying the Douglas-Peucker algorithm might affect that.
applying the Douglas-Peucker algorithm might affect that.


A lightweight shapefile parser would allow users/apps to load other  
* A lightweight shapefile parser would allow users/apps to load other  
shapefiles.
shapefiles.


We would have to reconvert and check the data every time there's a new NE  
* We would have to reconvert and check the data every time there's a new NE  
release which could be a lot of effort, but an automated shp2pnt script could  
release which could be a lot of effort, but an automated shp2pnt script could  
prove useful to allow apps/users to display their own shapefiles in a simple  
prove useful to allow apps/users to display their own shapefiles in a simple  
way.
way.


It is unknown if the D-H algorithm can be deployed in a way to mark each point with a detail level rather than just throwing the points away.
* It is unknown if the D-H algorithm can be deployed in a way to mark each point with a detail level rather than just throwing the points away.


;Calculating Zoom Level on the fly
Using GeoPainter and GeoDataLineString ("libgeodata"):
Using GeoPainter and GeoDataLineString ("libgeodata"):
* Apply Douglas-Peuker dynamicallyin GeoDataLineString class to set Detail Level
* Apply Douglas-Peuker dynamically in GeoDataLineString class to set Detail Level
* When GeoDataLineString modified (add/del point) set dirty flag
* When GeoDataLineString modified (add/del point) set dirty flag
* When node accessed for drawing, Dirty flag would trigger D-P to calculate detail level and unset dirty flag
* When node accessed for drawing, Dirty flag would trigger D-P to calculate detail level and unset dirty flag
* Would benefit all vector formats, e.g. kml, ppx, shp
* Would benefit all vector formats, e.g. kml, ppx, shp


 
;Converting to a new file format
Potential new Marble file format based on PNT:
Potential new Marble file format based on PNT:
* 1st integer (32 bit): Latitude in arcseconds highest bit indicates new polygon starts: header information has to be read from 3rd integer
* 1st integer (32 bit): Latitude in arcseconds highest bit indicates new polygon starts: header information has to be read from 3rd integer
Line 100: Line 98:
   - existing serial format from geodata???
   - existing serial format from geodata???
4) Metadata file format definition (could just be csv or xml? or sqlite?)
4) Metadata file format definition (could just be csv or xml? or sqlite?)
5) New GeoData PNT2 file loading code (convert olf data).
5) New GeoData PNT2 file loading code (convert old data).
6) shp2mbl script to convert shp to new formats (using Perl::shp? there's  
6) shp2mbl script to convert shp to new formats (using Perl::shp? there's  
shp2xxx scripts out there we could copy?), including matching to Geonames ID
shp2xxx scripts out there we could copy?), including matching to Geonames ID

Revision as of 13:22, 22 March 2011

Natural Earth

Marble currently uses the very old and outdated MWDBII dataset for vector map outlines and we really need to replace it with more up-to-date data. However, MWDBII has two key advantages, it is very compact in size enabling Marble to ship it by default, and the individual nodes have a zoom level value which speeds up drawing.

The current vector layer also has the disadvantage of not being able to be manipulated either programtiacally or by the user. This prevents it from being used for such things as KGeography or other educational uses where you would want to select and manipulate a geographic entity.

The Natural Earth data set is a "public domain map dataset available at 1:10m, 1:50m, and 1:110 million scales. Featuring tightly integrated vector and raster data, with Natural Earth you can make a variety of visually pleasing, well-crafted maps with cartography or GIS software." This data set seems ideal as a replacement for the MWDBII.

Advantages:

  • Free / Public Domain data
  • Regularly updated
  • Wide variety of political and geographic features
  • Available at 3 different scales: 1:10m 1:50m and 1:110m
  • All feature nodes at same scale are matched
  • Data attributes such as country code, population, relative magnitude, etc

Disadvantages:

  • Is in Shapefile format which is space inefficient
  • No per node zoom level attribute
  • Different scale datasets do not match so cannot efficiently be used together for zooming

The 1:10m dataset seems ideal as the base map in Marble as it provides a higher level of detail than the current MWDBII. The 1:110m dataset seems ideal for use in a country selector widget in kdelibs. The 1:50m dataset is less detailed than the current MWDBII so may be less useful.

Using the data in the default shapefile format is not considered desirable however:

  • No shapefile format support in Marble (yet), would have to rely on an external library or write our own
  • Space inefficient (14Mb vs 2.6Mb for MWDBII)
  • No zoom level attribute or any node level attributes which would slow drawing
  • Vector level attributes are stored in .dbf format which adds complexity to implementing shapefile support

The ideal solution would therefore be to convert the Natural Earth data into a more efficient file format that includes a zoom level attribute. The full Natural Earth dataset would be converted, but would only ship the minimal dataset required with Marble (approx 4-5Mb?) with the remainder of the data later being downloaded via GHNS or as a separate package.

Some possibilities for the file format are:

  • Adapt the existing PNT format used for MWDBII to have a higher degree of accuracy and add an attributes table
  • Use the existing Marble cache format which will be faster but the size efficiency may not be sufficient
  • Use shapefile by implementing a lightweight parser without dbf support but our own simple attribute table.

The zoom level problem can be solved by either:

  • Calculate a zoom level for each point during the file conversion and save it in the new file format.
  • Improve the vector drawing layer to calculate the zoom level on the fly, which would benefit all vector drawing but may be too slow.

The Douglas-Peucker algorithm may be able to be used here.

Some pros/cons to consider:

  • The 1:10m country file is 6.55MB and contains 533,202 points = 12.28

bytes/point compared to the PNT which is 745KB and contains 127,246 points = 5.85 bytes/point, which would suggest the NE data in PNT format would be half the size, so 6 MB in total. This could probably be further reduced by a light application of Douglas-Peucker.

  • The NE shapefiles have been carefully processed so shared borders and

overlapping features like rivers match exactly and other such niceties, applying the Douglas-Peucker algorithm might affect that.

  • A lightweight shapefile parser would allow users/apps to load other

shapefiles.

  • We would have to reconvert and check the data every time there's a new NE

release which could be a lot of effort, but an automated shp2pnt script could prove useful to allow apps/users to display their own shapefiles in a simple way.

  • It is unknown if the D-H algorithm can be deployed in a way to mark each point with a detail level rather than just throwing the points away.
Calculating Zoom Level on the fly

Using GeoPainter and GeoDataLineString ("libgeodata"):

  • Apply Douglas-Peuker dynamically in GeoDataLineString class to set Detail Level
  • When GeoDataLineString modified (add/del point) set dirty flag
  • When node accessed for drawing, Dirty flag would trigger D-P to calculate detail level and unset dirty flag
  • Would benefit all vector formats, e.g. kml, ppx, shp
Converting to a new file format

Potential new Marble file format based on PNT:

  • 1st integer (32 bit): Latitude in arcseconds highest bit indicates new polygon starts: header information has to be read from 3rd integer
  • 2nd integer (32 bit): Longitude in arcseconds
  • Optional 3rd integer: feature key highest bit feature geometry (line or ring).

Applying this to the 1:10m dataset:

  • Each point takes 64 bits/8 bytes
  • The start of each polygon takes 96 bits
  • Roughly 533,202 x 8 bytes = 4 Mb for the country borders alone, not including internal border and coastline files
  • If that's too much to ship, then ship the 1:50m dataset as the default and download the 1:10m dataset once online

Metadata file:

  • convert / filter dbf into our own format

Rather than the Geonames ID, we could just use the Natural Earth object ID, then a look-up file/table that matches the NE ID to the ISO / FIPS / whatever code (NE provides this in the metadata) and Geonames ID (which we would have to provide). This would allow look-ups via whatever code or ID is available, and we wouldn't be reliant on Geonames IDs staying constant.

So required work is: 1) Fix GeoPainter LinearRings which contain a pole not rendered correctly

  - Torsten knows, problem will fill in flat map needs to create polygon if closed and crosses dateline once only

2) Implement Douglas-Peuker reduction in GeoDataLineString

  - big investigation

3) New PNT file format definition (with a different name, MBL?)

  - existing serial format from geodata???

4) Metadata file format definition (could just be csv or xml? or sqlite?) 5) New GeoData PNT2 file loading code (convert old data). 6) shp2mbl script to convert shp to new formats (using Perl::shp? there's shp2xxx scripts out there we could copy?), including matching to Geonames ID 7) split files into 'ship with', 'download asap', 'ghns'@

Later add simple shapefile loading to GeoData, maybe with attibute layer?


GHNS:

  • can it download layers as well as themes?


Key Natural Earth data files from v1.2, recent updates to 1.3 not included.

                           1:110m     1:50m      1:10m
                           ------     -----      -----
Admin level 0 countries     172 KB    1.36 MB     6.55 MB
Admin level 0 land borders   39 KB     301 KB      896 KB
Admin level 0 sea borders    12 KB      40 KB       79 KB
Admin level 0 disputed                  40 KB      157 KB
Admin level 1 regions        39 KB     339 MB     13.9 MB *
Admin level 1 land borders   16 KB      60 KB     4.82 MB
Coastlines                   79 KB     883 KB     2.15 MB
Rivers                       19 KB     420 KB     3.29 MB
Lakes                        10 KB     286 KB      786 MB              
Glaciers                     13 KB     208 KB     1.23 MB
Dateline                     18 KB      18 KB       18 KB
Playas                                  18 KB      106 KB
Ice Shelves                            105 KB      211 KB
Minor Islands                                      449 KB
Reefs                                              171 KB
                           -------    -------   ---------
                            417 KB    4.08 MB    34.03 MB

* level 1 regions are USA/Canada only at 110m and 50m, but whole world at 10m, 
perfect for KGeography use :-)

Other useful files:
Physical Features Land      146 KB    1.50 MB      692 KB
Physical Features Sea       348 KB     836 KB      836 MB
Populated Places                       347 KB     1.48 MB
Urban Areas                            439 KB     3.48 MB
Bathmetry                                        11.64 MB

Datasets:

  • Countries
    • matched boundary lines and polygons with names attributes for countries and

sovereign states. Includes dependencies (French Polynesia), map units (U.S. Pacific Island Territories) and sub-national map subunits (Corsica versus mainland Metropolitan France).

    • Core data
  • Disputed areas and breakaway regions
    • From Kashmir to the Elemi Triangle, Northern Cyprus to Western Sahara.
    • Core data
  • Internal boundaries
    • Core data??
  • Coastline
    • ocean coastline, including major islands. Coastline is matched to land and water polygons.
    • Core data?
  • First order admin (provinces, departments, states, etc.)
    • internal boundaries and polygons for all but a few tiny island nations. Includes names attributes and some statistical groupings of the same for smaller countries.
    • Optional download
  • Populated places
    • point symbols with name attributes. Includes capitals, major cities and towns, plus significant smaller towns in sparsely inhabited regions. We favor regional significance over population census in determining rankings.
    • Optional download, or use to replace current places file?
  • Urban polygons
    • derived from 2002-2003 MODIS satellite data.
    • Optional download
  • Pacific nation groupings
    • boxes for keeping these far-flung islands tidy.
    • Optional download
  • Water boundary indicators
    • partial selection of key 200-mile nautical limits, plus some disputed, treaty, and median lines.
    • Optional download
  • Land
    • Land polygons including major islands
    • Optional download
  • Ocean
    • Ocean polygon split into contiguous pieces.
    • Optional download
  • Minor Islands
    • additional small ocean islands ranked to two levels of relative importance.
    • Optional download
  • Reefs
    • major coral reefs from WDB2.
    • Optional download
  • Physical region features
    • polygon and point labels of major physical features.
    • Optional download
  • Rivers and Lake Centerlines
    • ranked by relative importance. Includes name and line width attributes. Don’t want minor lakes? Turn on their centerlines to avoid unseemly data gaps.
    • Optional download
  • Lakes
    • Ranked by relative importance, coordinating with river ranking. Includes name attributes.
    • Optional download
  • Glaciated areas
    • polygons derived from DCW, except for Antarctica derived from MOA. Includes name attributes for major polar glaciers.
    • Optional download
  • Antarctic ice shelves
    • Derived from 2003-2004 MOA. Reflects recent ice shelf collapses.
    • Optional download
  • Bathymetry
    • nested polygons at 0, -200, -1,000, -2,000, -3,000, -4,000, -5,000, -6,000, -7,000, -8,000, -9,000,and -10,000 meters. Created from SRTM Plus.
    • Optional download
  • Parks and protected areas
    • US Only
    • Don't use, maybe user download layer
  • Geographic lines
    • Polar circles, tropical circles, equator, and International Date Line.
    • Probably not useful to Marble as we have a plugin for most of these.
    • International Date Line could be extracted
  • Graticules
    • 1-, 5-, 10-, 15-, 20-, and 30-degree increments. Includes WGS84 bounding box.
    • Probably not useful to Marble as we have a Graticle plugin.