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This file contains 8413 different elements. That is a lot. Sometimes, this makes sense (for instance, if we want to index all zipcodes in a country). However, it may also mean that this file is much too detailed. Before processing this, please consider whether we really benefit from having this in our system. Because of the file size, administrator approval is needed to process this file. Use the chat box below to make the case and get approval to process this file.
Feature Property
Document name Réseau écologique Genevois, réservoirs de biodiversité
File size 15.2 MB
Layer name FFP_REG14_NODALE_RELAI
Coordinate reference system CH1903+
PROJCS CH1903+ / LV95
AUTHORITY EPSG
SPHEROID Bessel 1841
UNIT metre
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          PROJCS["CH1903+ / LV95",
    GEOGCS["CH1903+",
        DATUM["CH1903+",
            SPHEROID["Bessel 1841",6377397.155,299.1528128,
                AUTHORITY["EPSG","7004"]],
            AUTHORITY["EPSG","6150"]],
        PRIMEM["Greenwich",0,
            AUTHORITY["EPSG","8901"]],
        UNIT["degree",0.0174532925199433,
            AUTHORITY["EPSG","9122"]],
        AUTHORITY["EPSG","4150"]],
    PROJECTION["Hotine_Oblique_Mercator_Azimuth_Center"],
    PARAMETER["latitude_of_center",46.9524055555556],
    PARAMETER["longitude_of_center",7.43958333333333],
    PARAMETER["azimuth",90],
    PARAMETER["rectified_grid_angle",90],
    PARAMETER["scale_factor",1],
    PARAMETER["false_easting",2600000],
    PARAMETER["false_northing",1200000],
    UNIT["metre",1,
        AUTHORITY["EPSG","9001"]],
    AXIS["Easting",EAST],
    AXIS["Northing",NORTH],
    AUTHORITY["EPSG","2056"]]
        
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  • ID
  • Uploaded by
    Nicole Sophie Wiedmann
  • Type
    Polygon
  • Properties
    11
  • Items
    8413
  • Assigned to
    Nicole Sophie Wiedmann

Shapefile content

Only the first 100 items are shown. In total, there are 8413 items in your shapefile
IDENTIFIAN CODE_MN NODAL_AGRI NODAL_EAU NODAL_FORE NODAL_SEC NODAL_HUMI NODAL SOUS_RESEA SHAPE_AREA SHAPE_LEN
271 626.0 2.0 2.0 F 501.465638251 160.556257419
275 626.0 2.0 2.0 F 553.106093914 139.659519897
278 626.0 2.0 2.0 F 582.177759441 143.608280536
281 626.0 2.0 2.0 F 616.194550174 105.143651887
283 626.0 2.0 2.0 F 633.60100881 131.933539364
284 626.0 1.0 1.0 F 677.415537932 120.027234585
294 626.0 1.0 1.0 F 940.411242502 394.101272617
297 626.0 2.0 2.0 F 951.554213854 170.594804138
301 626.0 2.0 2.0 F 1029.12805432 172.055808398
303 626.0 2.0 2.0 F 1088.36483817 322.8853946
304 626.0 1.0 1.0 F 1133.71945201 184.48823077
315 626.0 1.0 1.0 F 1492.6851085 183.594493114
319 626.0 2.0 2.0 F 1735.79531846 229.242091279
325 626.0 1.0 1.0 F 1884.80990225 240.180050652
331 626.0 1.0 1.0 F 2022.42843857 383.61455796
333 626.0 2.0 2.0 F 2051.26797377 323.036172651
339 626.0 2.0 2.0 F 2341.05447841 324.250357874
342 626.0 2.0 2.0 F 2412.33479533 423.278265258
343 626.0 2.0 2.0 F 2418.10307447 218.61400832
345 626.0 2.0 2.0 F 2519.85990948 258.73196464
346 626.0 2.0 2.0 F 2529.15539612 231.399443201
355 626.0 1.0 1.0 F 2825.23873663 278.247323728
357 626.0 2.0 2.0 F 2862.21098634 493.868540386
358 626.0 1.0 1.0 F 2873.40461 255.12710154
362 626.0 2.0 2.0 F 3047.57384809 349.548448794
364 626.0 2.0 2.0 F 3117.1392685 307.525017417
3 904.0 2.0 2.0 X 559.463185051 158.286661169
8 904.0 2.0 2.0 X 14252.0388527 574.78802971
15 904.0 2.0 2.0 X 80382.5791103 1340.80736888
16 904.0 2.0 2.0 X 125028.695831 5228.39941174
17 904.0 2.0 2.0 X 123000.281635 6413.29292728
101 1002.0 1.0 1.0 A 108.43905494 127.570066235
104 1002.0 2.0 2.0 A 111.677793005 93.0951754557
109 1002.0 1.0 1.0 A 161.500403909 201.141563745
110 1002.0 1.0 1.0 A 177.586518856 109.006784824
112 1002.0 1.0 1.0 A 186.597825343 186.931133444
113 1002.0 2.0 2.0 A 187.815777802 108.637659325
117 1002.0 1.0 1.0 A 228.3742382 241.351514839
127 1002.0 1.0 1.0 A 307.934916406 206.262507727
129 1002.0 2.0 2.0 A 328.685885135 115.218906141
132 1002.0 2.0 2.0 A 359.151897149 290.248679485
142 1002.0 1.0 1.0 A 426.537482519 417.98216265
158 1002.0 2.0 2.0 A 674.470014606 222.166547938
166 1002.0 2.0 2.0 A 774.681457991 370.722197245
173 1002.0 1.0 1.0 A 926.477614981 331.690042863
174 1002.0 1.0 1.0 A 927.305260554 334.373680628
176 1002.0 2.0 2.0 A 952.511499466 428.270877327
179 1002.0 2.0 2.0 A 1075.02629128 379.730768945
180 1002.0 2.0 2.0 A 1134.49509705 655.954666504
185 1002.0 1.0 1.0 A 1386.90219091 721.158427372
188 1002.0 2.0 2.0 A 1470.73663063 397.171265466
199 1002.0 1.0 1.0 A 1954.55265465 695.273664252
204 1002.0 1.0 1.0 A 2748.9995805 1149.91064434
208 1002.0 1.0 1.0 A 3850.52124134 1714.94330892
215 214.0 1.0 1.0 EH 54.3187536061 54.3656182498
219 214.0 1.0 1.0 EH 508.575484288 117.023729471
220 214.0 3.0 3.0 EH 598.280928642 134.124936986
222 214.0 1.0 1.0 EH 1257.57727491 252.996464208
223 214.0 3.0 3.0 EH 1381.76278022 157.917952198
226 214.0 3.0 3.0 EH 2115.23029296 473.866181835
228 214.0 3.0 3.0 EH 7873.68026081 772.413894777
230 626.0 1.0 1.0 F 54.7903812399 51.9516385522
240 626.0 2.0 2.0 F 119.307076849 43.2593192701
241 626.0 1.0 1.0 F 119.343213931 86.0552676131
249 626.0 2.0 2.0 F 186.721160265 95.5354354637
256 626.0 2.0 2.0 F 314.675993703 148.536033148
261 626.0 2.0 2.0 F 343.388633754 169.127498417
369 626.0 2.0 2.0 F 3206.43275662 506.650253934
374 626.0 2.0 2.0 F 3770.01007478 305.219010499
377 626.0 2.0 2.0 F 3890.38080515 323.768501173
379 626.0 2.0 2.0 F 4047.32023943 382.448867496
380 626.0 2.0 2.0 F 4058.58772816 381.430231422
383 626.0 2.0 2.0 F 4187.20805473 363.644174032
384 626.0 2.0 2.0 F 4223.75002717 494.839124396
385 626.0 1.0 1.0 F 4283.12664578 474.068431937
386 626.0 1.0 1.0 F 4294.49718161 294.590913186
388 626.0 2.0 2.0 F 4395.85798091 457.406669941
389 626.0 1.0 1.0 F 4485.17196882 302.24592637
391 626.0 2.0 2.0 F 4506.60739642 290.020602558
392 626.0 2.0 2.0 F 4540.58912592 325.969001401
460 626.0 3.0 3.0 F 16636.0387335 878.114433855
461 626.0 3.0 3.0 F 16749.9545539 1233.50883907
463 626.0 3.0 3.0 F 20583.402124 931.22616005
464 626.0 3.0 3.0 F 20918.2920894 812.78784204
465 626.0 3.0 3.0 F 21023.9463518 598.770384729
466 626.0 1.0 1.0 F 21502.9388045 1009.77018775
467 626.0 1.0 1.0 F 22282.2753519 704.242954724
468 626.0 1.0 1.0 F 22606.8979833 776.439706103
471 626.0 3.0 3.0 F 24884.5839655 1340.19129026
472 626.0 1.0 1.0 F 26515.8266766 1278.54923826
474 626.0 1.0 1.0 F 36507.6980599 1320.84604701
478 626.0 1.0 1.0 F 50141.1885349 1066.72339383
479 626.0 3.0 3.0 F 51219.7643881 1036.10004757
495 301.0 1.0 1.0 EH 167.09776289 100.433341317
496 301.0 1.0 1.0 EH 174.49966367 80.0193022875
498 301.0 3.0 3.0 EH 207.276676634 113.799371026
500 301.0 3.0 3.0 EH 223.585288282 78.8575764668
481 626.0 3.0 3.0 F 90724.2911278 1635.95839808
482 626.0 3.0 3.0 F 105706.240968 1956.13759947
484 301.0 3.0 3.0 EH 56.0100270432 35.9439635618

History and comments


This task was created by the system


I think it is really interesting to know which are the biodiversity reserve areas. Can I process this file? Thanks! :-)


Task was assigned to Nicole and status was changed: Open → In Progress


Status change: In Progress → Completed


Hi Nicole, this shapefile also contains useful info but it's not about many individual reference spaces so we should try and convert it into a single record. Can you subscribe to this and re-process later into a single reference space?


Hi Paul, thanks a lot for all the information and to reply so fast!
Can you maybe explain me what is the difference between a shapefile containing multiple element recorded in an indivudual or multiple reference space ?
Thank you again in advance,
Nicole :-)


Hi Nicole,


A simple example is your shapefile of Lausanne. In that shapefile there are two individual polygons. However, they really represent one "reference space" (a reference space is a specific area/point that we want to link to something, e.g. flows or stocks). However, there are other examples, like a database with trees or with biodiversity reservoirs in the city like this particular file. In these cases, we don't really want to create a unique "space" for each tree or each biodiversity reservoir, because we won't link those individual elements to flows or stocks. Rather, we want to take the entirety of that shapefile and use that information (containing details of all trees or all biodiversity layers) and put that on the map and contrast that with other infrastructure or flows). So in these cases we don't want the system to create all these individual spaces that make everything heavier and more complex, but we just want to treat the systems as a single layer without further subdivisions.


Does that make sense?


Hi Paul, yes I understood.
Thank you and happy new year! :-)


Task was assigned to Nicole Sophie Wiedmann and status was changed: Completed → In Progress


Status change: In Progress → Completed