Published September 10, 2021
| Version v1
Dataset
Open
L'Alpe d'Huez: a dataset to benchmark topographic map generalisation
Description
This dataset derives from the one used in a past EuroSDR benchmark (http://dx.doi.org/10.1016/j.compenvurbsys.2009.06.002), and should be used as a benchmark for topographic map generalisation techniques. It contains several topographic layers as shapefiles (roads, buildings, rivers, forests, contour lines...), a style description to display the data at the 1:50k scale, and a table of the generalisation constraints that should be respected in this 1:50k scale map.
Files
Files
(6.3 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:e2a0b3d622b644d59ffb82198a7ea763
|
2.5 MB | Download |
|
md5:ae3b3df9970b49b6523e608759bc957d
|
5 Bytes | Download |
|
md5:c6e3a935e27e93e227a5e4faae5026c4
|
848 Bytes | Download |
|
md5:461196c39f3b33562df66e94deddb124
|
3.5 kB | Download |
|
md5:df678d272b0573a4a776fda9c019bf3c
|
340 Bytes | Download |
|
md5:13425d9302b9d2fc91519801126f2fa4
|
22.3 kB | Download |
|
md5:a1081a107370b6f803cbc87cfe85fd84
|
327.3 kB | Download |
|
md5:83119f5e97fd8cb1ee18aef7a23d92fd
|
16.3 kB | Download |
|
md5:056b984eb20dccfbe0834af8adaaf63c
|
13.2 kB | Download |
|
md5:a899f3a1bd975d1ed6db47495c134b0a
|
886.6 kB | Download |
|
md5:256ccd99c03699ccce8b413aea685856
|
5.1 kB | Download |
|
md5:c8766047e8583353f6f0444f05900ef3
|
88 Bytes | Download |
|
md5:4cfc20d12e596f28a537915463809d4c
|
1.1 kB | Download |
|
md5:409b159afe610aeb3140bdcd5c4677fc
|
116 Bytes | Download |
|
md5:74bd7b309ff838a58b1bdee9f31c4ec4
|
27.2 kB | Download |
|
md5:c4f0a6764492fdc07ef151b771f76e21
|
1.7 MB | Download |
|
md5:2ae3ac32241429b4d23687a85051e2ff
|
19.9 kB | Download |
|
md5:4786043185e342d4fa9d0c3606086e02
|
88 Bytes | Download |
|
md5:4b81fb70a4de6f599090942eea56e077
|
692 Bytes | Download |
|
md5:519e5d22910f8d494c22b1fd96f09667
|
116 Bytes | Download |
|
md5:7f603c17779af31ab1a86c99feb66809
|
440 Bytes | Download |
|
md5:599aafc34f58308dc465ff6d5a99bfaa
|
4.2 kB | Download |
|
md5:b43db554d74b8f206fb7b347cc52932d
|
372 Bytes | Download |
|
md5:87acceca7962c94172ecb51717739029
|
3.9 kB | Download |
|
md5:6be20222f0d081c7bfb17b1e0fe49a3e
|
140.0 kB | Download |
|
md5:f9595bdd9a50040ca11bfdf66230fefb
|
2.9 kB | Download |
|
md5:3e61fc3e95144098ff18df81b0c04990
|
132 Bytes | Download |
|
md5:967ed1f2e8d3bcc2fcf747afaf05037c
|
980 Bytes | Download |
|
md5:0d639c4186c5a30138ef12bbaa7391e3
|
148 Bytes | Download |
|
md5:48f28f879b0886516383317c5162a170
|
16.4 kB | Download |
|
md5:030604a927bd24d0ca00bfcb9bebd9a2
|
269.1 kB | Download |
|
md5:1a9df16a857a57dc5d473d21d88b36a9
|
4.3 kB | Download |
|
md5:94294975a0f86efdaf396cc2a7d7319c
|
1.1 kB | Download |
|
md5:8258c358672bd979b8b5e722799a1e08
|
39.9 kB | Download |
|
md5:c70d8fdba6f882c2d00e413ff19e3d4f
|
876 Bytes | Download |
|
md5:5ba8bb5f3def9287dc1c1f8f85004407
|
847 Bytes | Download |
|
md5:42b744c3a0313c7d26f34e89a489dc3b
|
17.0 kB | Download |
|
md5:8cdfa2071adcbf8de3d0b899d717733c
|
668 Bytes | Download |
|
md5:644496bfbb802226ae89c33531c626d8
|
2.4 kB | Download |
|
md5:1353be8aa1a15eb201ab1ee752e53a3f
|
43.8 kB | Download |
|
md5:410bb8f87dfa5a9e4310c82b18159aa4
|
1.8 kB | Download |
|
md5:1ade056d587ed37f5b60f293ec76c7bd
|
1.4 kB | Download |
|
md5:de9f9e24bba827fd1a6492c6c72adda6
|
80.1 kB | Download |
|
md5:507f4694271b272c32ee64ab198ae9b6
|
1.1 kB | Download |
|
md5:ae3b3df9970b49b6523e608759bc957d
|
5 Bytes | Download |
|
md5:dd1a6a31f30e9078fca5921424ddcf5d
|
638 Bytes | Download |
|
md5:6ae45e44c0ca6dbb4536d431e47652dd
|
520 Bytes | Download |
|
md5:c075afcbd521625886b81eb0e2c88b89
|
220 Bytes | Download |
|
md5:66e036e97dc80c56f08e62d178d20b2e
|
224.3 kB | Download |