PR #206 from @geographika - typo's in ch3

Fix typo in 03-spatial-reference-systems.ipynb

Author: justb4

workshop/jupyter/content/notebooks/03-coordinate-reference-systems.ipynb

@@ -65,7 +65,7 @@
     "\n",
     "The [PROJ](https://proj.org) library is a cornerstone of FOSS4G, implementing a large number of cartographic projections and most geodetic datums. The list of [cartographic projections implemented by PROJ](https://proj.org/operations/projections/index.html) is a good place to start exploring the different characteristics of each projection. [pyproj](https://pyproj4.github.io/pyproj/stable/) is the native Python interface to PROJ.\n",
     "\n",
-    "In alternative, the GDAL/OGR Python API library includes a dedicated module to handle Spatial Reference Systems (SRS): [osgeo.osr](https://gdal.org/python/osgeo.osr-pysrc.html). It may be convinient in certain cases."
+    "An alternative, the GDAL/OGR Python API library includes a dedicated module to handle Spatial Reference Systems (SRS): [osgeo.osr](https://gdal.org/python/osgeo.osr-pysrc.html). It may be convenient in certain cases."
    ]
   },
   {
@@ -144,7 +144,7 @@
    "source": [
     "There are other methods to initialise a `CRS` object, but these are the most common. \n",
     "\n",
-    "It is possible to export a `CRS` into different formats that are simple to read or use by other software. For intance, the `to_wkt` method produces a WKT string:"
+    "It is possible to export a `CRS` into different formats that are simple to read or use by other software. For instance, the `to_wkt` method produces a WKT string:"
    ]
   },
   {
@@ -245,7 +245,7 @@
    "source": [
     "This dataset includes only geographic coordinates, referring to the WGS84 datum ensemble. The `longlat` parameter means that the [Equirectangular projection](https://en.wikipedia.org/wiki/Equirectangular_projection) is applied when plotting the data or using it directly in spatial analysis. This projection is also known as \"Plate Carré\".\n",
     "\n",
-    "What does this mean in practice? The best way is to plot the data and see how it looks. A simple way of doing so is with the `matplotlib` library, essentially passing a collection of coordinate pairs to a X-Y plot. In this example the `shape` method from the `shapely` library is used to otain the coordinate pairs from the file opened above."
+    "What does this mean in practice? The best way is to plot the data and see how it looks. A simple way of doing so is with the `matplotlib` library, essentially passing a collection of coordinate pairs to a X-Y plot. In this example the `shape` method from the `shapely` library is used to obtain the coordinate pairs from the file opened above."
    ]
   },
   {
@@ -276,7 +276,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "What if a different CRS is required for analysis? The `transformArgentina` object can be used again, keeping in mind the correct axes order *(latitute, longitude)*. "
+    "What if a different CRS is required for analysis? The `transformArgentina` object can be used again, keeping in mind the correct axes order *(latitude, longitude)*. "
    ]
   },
   {
@@ -323,7 +323,7 @@
     "\n",
     "- Always check the coordinate system of each dataset before using it. Be it in complex analysis or simple mapping.\n",
     "- Make sure all datasets needed are in the same SRS before combining them.\n",
-    "- Coordinate order is 'wierd' with geographic systems: latitude comes first. \n",
+    "- Coordinate order is 'weird' with geographic systems: latitude comes first. \n",
     "- Take some time to identify the best CRS for the study at hand:\n",
     "  - Local versus global datum;\n",
     "  - Projection distortion properties."