Corrected file name for basics section

1e528d1e · Luís de Sousa · c0e4a319 · 1e528d1e · 1e528d1e
Commit 1e528d1e authored 5 years ago by Luís de Sousa
--- a/01-WCS-basic.ipynb
+++ b/01-WCS-basic.ipynb
--- a/02-WCS-getExtent.ipynb
+++ b/02-WCS-getExtent.ipynb
@@ -42,7 +42,7 @@
   "cell_type": "markdown",
   "metadata": {},
   "source": [
-    "The `getCoverage` method can now be used to fetch the map segment within the bounding box. Note the other parameters, [Section 1](01-WCS-basic.ipynb) showed how to obtain them."
+    "The `getCoverage` method can now be used to fetch the map segment within the bounding box. Note the other parameters, [Section 1](01-WCS-basics.ipynb) showed how to obtain them."
   ]
  },
  {

 %% Cell type:markdown id: tags:
 Obtaining a map segment from a WCS
 ====================
 Obtaining a map segment is another operation greatly simplified by the [OWSLib](https://geopython.github.io/OWSLib/) package. This case is conducted from a pre-established bounding box.
 This time a connection is made to the service for soil pH:
 %% Cell type:code id: tags:
 ``` python
 from owslib.wcs import WebCoverageService
 wcs = WebCoverageService('http://maps.isric.org/mapserv?map=/map/phh2o.map', version='1.0.0')
 ```
 %% Cell type:markdown id: tags:
 A bounding box broadly matching Senegal:
 %% Cell type:code id: tags:
 ``` python
 bbox = (-1784000, 1356000, -1140000, 1863000)
 ```
 %% Cell type:markdown id: tags:
-The `getCoverage` method can now be used to fetch the map segment within the bounding box. Note the other parameters, [Section 1](01-WCS-basic.ipynb) showed how to obtain them.
+The `getCoverage` method can now be used to fetch the map segment within the bounding box. Note the other parameters, [Section 1](01-WCS-basics.ipynb) showed how to obtain them.
 %% Cell type:code id: tags:
 ``` python
 response = wcs.getCoverage(
    identifier='phh2o_0-5cm_mean',
    crs='urn:ogc:def:crs:EPSG::152160',
    bbox=bbox,
    resx=250, resy=250,
    format='GEOTIFF_16')
 ```
 %% Cell type:markdown id: tags:
 Now fetch the coverage for Senegal and save it disk:
 %% Cell type:code id: tags:
 ``` python
 with open('./data/Senegal_pH_0-5_mean.tif', 'wb') as file:
    file.write(response.read())
 ```
 %% Cell type:markdown id: tags:
 With the data on the client side some regular interaction can be started with a library like [rasterIO](https://rasterio.readthedocs.io/). First open the file from disk:
 %% Cell type:code id: tags:
 ``` python
 import rasterio
 CEC = rasterio.open("./data/Senegal_pH_0-5_mean.tif", driver="GTiff")
 ```
 %% Cell type:markdown id: tags:
 Finally, use the plot class to plot the map:
 %% Cell type:code id: tags:
 ``` python
 from rasterio import plot
 plot.show(CEC, title='Mean pH between 0 and 5 cm deep in Senegal', cmap='gist_ncar')
 ```