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introgis [2019/11/11 16:45] qcbs [Exercise 6 - Using GRASS within QGIS] |
introgis [2019/11/12 17:17] (current) qcbs [Exercice 4 - Downloading files, recap and challenge!] |
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**CHALLENGE 2**: Regenerate your interpolated raster maps for each time periods using the Multi-level B-Spline Interpolation tool in Saga. Use the Processing toolbox for this. Compare those maps with the ones you obtained with Inverse Distance Weighting. | **CHALLENGE 2**: Regenerate your interpolated raster maps for each time periods using the Multi-level B-Spline Interpolation tool in Saga. Use the Processing toolbox for this. Compare those maps with the ones you obtained with Inverse Distance Weighting. | ||
====== Exercice 4 - Downloading files, recap and challenge! ====== | ====== Exercice 4 - Downloading files, recap and challenge! ====== | ||
- | For this exercise, you will need to extract the mean elevation and the land cover at occurence sites of the [[http://www.gbif.org/|Global Biodiversity Information Facility (GBIF)]] falling within the Wemindji aboriginal territory, in the James Bay area of Quebec. **You will want to work with the UTM Zone 17N / NAD83 reference system**. Note that to reproject a raster, the preferred way is to use Raster>Projections>Warp.To achieve the objective, you will need to complete the following steps: | + | For this exercise, you will need to extract the mean elevation and the land cover at occurence sites of the [[http://www.gbif.org/|Global Biodiversity Information Facility (GBIF)]] falling within the Wemindji aboriginal territory, in the James Bay area of Quebec. **You will want to work with the UTM Zone 17N / NAD83 reference system**. Note that to reproject a raster, the preferred way is to use Raster>Projections>Warp. To achieve the objective, you will need to complete the following steps: |
- | * On the [[http://open.canada.ca/|Canada Open Government]] website, download raster [[http://ftp.geogratis.gc.ca/pub/nrcan_rncan/elevation/cdem_mnec/|elevation files]] for zones 33D and 33E at the 1:250,000 scale. | + | * On the [[https://open.canada.ca/en/open-data|Canada Open Government]] website, download raster [[http://ftp.geogratis.gc.ca/pub/nrcan_rncan/elevation/cdem_mnec/|elevation files]] for zones 33D and 33E at the 1:250,000 scale. |
* Download this {{::qc_land_use_33de.zip|ZIP package}} containing a tif file with a recent land cover classification of the area and the associated style/colormap in qml format. | * Download this {{::qc_land_use_33de.zip|ZIP package}} containing a tif file with a recent land cover classification of the area and the associated style/colormap in qml format. | ||
- | * On Open Government website, download the shapefile of Aboriginal Lands of Canada Legislative Boundaries (al_ta_ca_shp_gdm_en.zip). The shapefile of interest is the one that ends with _MODIFIED | + | * On the MERN website (https://mern.gouv.qc.ca/territoire/portrait/portrait-donnees-mille.jsp), download the "Découpages administratifs", "Municipalités, TNO et territoires autochtones" dataset as a shapefile. You will want the polygon layer. |
* Download {{::occurrence.txt|this file}} containing the [[http://www.gbif.org/|GBIF]] species occurences in the Wemindji region. Note that this file is TAB delimited and the coordinates are in Latitude, longitude (WGS84). You can open it in a text editor to explore it's content. | * Download {{::occurrence.txt|this file}} containing the [[http://www.gbif.org/|GBIF]] species occurences in the Wemindji region. Note that this file is TAB delimited and the coordinates are in Latitude, longitude (WGS84). You can open it in a text editor to explore it's content. | ||
- | * Using the latitude, longitude coordinates, add the GBIF occurences to the map canvas. | + | * Using the latitude, longitude coordinates, add the GBIF occurences to the map canvas (it is TAB delimited). |
* Merge the elevation raster layers (.tif) into one using Raster>Miscellaneous>Merge. Save the output as a .tif file. | * Merge the elevation raster layers (.tif) into one using Raster>Miscellaneous>Merge. Save the output as a .tif file. | ||
+ | * Use a filter to isolate the Wemindji territory (MUS_MN_MUN column)from the municipalities layer. | ||
* Clip the occurrences to obtain only those within the Wemindji territory. | * Clip the occurrences to obtain only those within the Wemindji territory. | ||
* Use the 'point sampling tool' plugin to extract the name of each species in latin, the land cover and the elevation at each occurrence location. Note that some locations contain a large number of occurrences. | * Use the 'point sampling tool' plugin to extract the name of each species in latin, the land cover and the elevation at each occurrence location. Note that some locations contain a large number of occurrences. | ||
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Use the Cluster Analysis for Grids function in Processing Toolbox>SAGA to perform an unsupervised classification of your images using bands 3,4,5 and 7. | Use the Cluster Analysis for Grids function in Processing Toolbox>SAGA to perform an unsupervised classification of your images using bands 3,4,5 and 7. | ||
- | ====== Exercise 6 - Using GRASS within QGIS Processing toolbox ====== | + | ====== Exercise 6 - Using GRASS with QGIS Processing toolbox ====== |
Objective: Isolate the largest contiguous patch of land that is not covered by water and that is at least 1km from roads. | Objective: Isolate the largest contiguous patch of land that is not covered by water and that is at least 1km from roads. | ||
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**Step 1**: Save the file routes.shp as a new layer with the CRS NAD83 / UTM 18N. Do the same for the Region_Hydrique shapefile. | **Step 1**: Save the file routes.shp as a new layer with the CRS NAD83 / UTM 18N. Do the same for the Region_Hydrique shapefile. | ||
- | **Step 2**: Convert the routes and the Region_Hydrique files to raster format using the v.to.rast function. Choose the "Source for raster values" as "va", and put 1 in the "Raste vale (use=val). Do the same for the regions hydriques. | + | **Step 2**: Convert the routes and the Region_Hydrique files to raster format using the v.to.rast function. Choose the "Source for raster values" as "va", and put 1 in the "Raster value (use=val)". Do the same for the regions hydriques. |
**Step 3**: Use the r.grow.distance function to create a continuous raster map in which each pixel is assigned the distance from the closest route. Use the routes layer in raster format (Step 6) as the input. | **Step 3**: Use the r.grow.distance function to create a continuous raster map in which each pixel is assigned the distance from the closest route. Use the routes layer in raster format (Step 6) as the input. |