completes rev ch8 jn

08-mapping.qmd

@@ -526,15 +526,15 @@ plt.savefig('output/plot_rasterio2.svg', dpi=300)
 
 ## Interactive maps {#sec-interactive-maps}
 
-### Minimal example
+<!-- jn: an intro paragraph is missing -->
+
+### Minimal example of interactive map
 
 An interactive map of a `GeoSeries` or `GeoDataFrame` can be created with `.explore` (@sec-vector-layers).
-Here is a minimal example:
 
 ```{python}
 #| label: fig-explore
 #| fig-cap: Minimal example of an interactive vector layer plot with `.explore`
-
 nz.explore()
 ```
 
@@ -558,7 +558,6 @@ For example, here is how we can set green fill color and 30% opaque black outlin
 ```{python}
 #| label: fig-explore-styling-polygons
 #| fig-cap: Styling of polygons in `.explore`
-
 nz.explore(color='green', style_kwds={'color':'black', 'opacity':0.3})
 ```
 
@@ -573,50 +572,48 @@ Additionally, for points, we can set the `marker_type`, to one of:
 -   `'circle'`---A vector circle with radius specified in $m$
 -   `'circle_marker'`---A vector circle with radius specified in pixels (the default)
 
-For example, the following expression draws `'circe_marker`' points with 20 pixel radius, green fill, and black outline (@fig-explore-styling-points):
+For example, the following expression draws `'circe_marker`' points with 20 pixel radius, green fill, and black outline (@fig-explore-styling-points).
 
 ```{python}
 #| label: fig-explore-styling-points
 #| fig-cap: Styling of points in `.explore` (using `circle_marker`)
-
 nz_height.explore(
     color='green', 
     style_kwds={'color':'black', 'opacity':0.5, 'fillOpacity':0.1}, 
     marker_kwds={'color':'black', 'radius':20}
 )
 ```
 
-The following expression demonstrates the `'marker'` option (@fig-explore-styling-points2).
-Note that the above-mentioned styling properties (other then `opacity`) are not applicable when using `marker_type='marker'`, because the markers are fixed PNG images:
+@fig-explore-styling-points2 demonstrates the `'marker_type'` option.
+Note that the above-mentioned styling properties (other then `opacity`) are not applicable when using `marker_type='marker'`, because the markers are fixed PNG images.
 
 ```{python}
 #| label: fig-explore-styling-points2
 #| fig-cap: Styling of points in `.explore` (using `marker`)
-
 nz_height.explore(marker_type='marker')
 ```
 
+<!-- jn: can we use our own png images as well? -->
+
 ### Layers
 
-To display multiple layers, one on top of another, with `.explore`, we use the `m` argument, which stands for the previous map (@fig-explore-layers):
+To display multiple layers, one on top of another, with `.explore`, we use the `m` argument, which stands for the previous map (@fig-explore-layers).
 
 ```{python}
 #| label: fig-explore-layers
 #| fig-cap: Displaying multiple layers in an interactive map with `.explore`
-
-m = nz.explore()
-nz_height.explore(m=m, color='red')
+map1 = nz.explore()
+nz_height.explore(m=map1, color='red')
 ```
 
 One of the advantages of interactive maps is the ability to turn layers "on" and "off".
 This capability is implemented in [`folium.LayerControl`](https://python-visualization.github.io/folium/latest/user_guide/ui_elements/layer_control.html#LayerControl) from package **folium**, which the **geopandas** `.explore` method is a wrapper of.
 For example, this is how we can add a layer control for the `nz` and `nz_height` layers (@fig-explore-layers-controls).
-Note the `name` properties, used to specify layer names in the control, and the `collapsed` property, used to specify whether the control is fully visible at all times (`False`), or on mouse hover (`True`, the default):
+Note the `name` properties, used to specify layer names in the control, and the `collapsed` property, used to specify whether the control is fully visible at all times (`False`), or on mouse hover (`True`, the default).
 
 ```{python}
 #| label: fig-explore-layers-controls
 #| fig-cap: Displaying multiple layers in an interactive map with `.explore`
-
 m = nz.explore(name='Polygons (adm. areas)')
 nz_height.explore(m=m, color='red', name='Points (elevation)')
 folium.LayerControl(collapsed=False).add_to(m)
@@ -626,23 +623,21 @@ m
 ### Symbology {#sec-explore-symbology}
 
 Symbology can be specified in `.explore` using similar arguments as in `.plot` (@sec-plot-symbology).
-For example, here is an interactive version of @fig-plot-symbology-colors (a).
+For example, @fig-explore-symbology is an interactive version of @fig-plot-symbology-colors (a).
 
 ```{python}
 #| label: fig-explore-symbology
 #| fig-cap: 'Symbology in an interactive map of a vector layer, created with `.explore`'
-
 nz.explore(column='Median_income', legend=True, cmap='Reds')
 ```
 
 Fixed styling (@sec-explore-symbology) can be combined with symbology settings.
-For example, polygon outline colors in @fig-explore-symbology are styled according to `'Median_income'`, however, this layer has overlapping outlines and the color is arbitrarily set according to the order of features (top-most features), which may be misleading and confusing.
+For example, polygon outline colors in @fig-explore-symbology are styled according to `'Median_income'`, however, this layer has overlapping outlines and their color is arbitrarily set according to the order of features (top-most features), which may be misleading and confusing.
 To specify fixed outline colors (e.g., black), we can use the `color` and `weight` properties of `style_kwds` (@fig-explore-symbology2):
 
 ```{python}
 #| label: fig-explore-symbology2
 #| fig-cap: 'Symbology combined with fixed styling in `.explore`'
-
 nz.explore(column='Median_income', legend=True, cmap='Reds', style_kwds={'color':'black', 'weight': 0.5})
 ```
 
@@ -658,24 +653,24 @@ Several popular built-in basemaps can be specified using a string:
 -   `'CartoDB positron'`
 -   `'CartoDB dark_matter'`
 
-Other basemaps are available through the **xyzservices** package, which needs to be installed (see `xyzservices.providers` for a list), or using a custom tile server URL.
+<!-- jn: please recheck the above list... there was some changes with Stamen maps recently, and I am not sure if the list is still correct... -->
 
-For example, the following expression displays the `'CartoDB positron'` tiles in an `.explore` map (@fig-explore-basemaps):
+Other basemaps are available through the **xyzservices** package, which needs to be installed (see `xyzservices.providers` for a list), or using a custom tile server URL.
+For example, the following expression displays the `'CartoDB positron'` tiles in an `.explore` map (@fig-explore-basemaps).
 
 ```{python}
 #| label: fig-explore-basemaps
 #| fig-cap: Specifying the basemap in `.explore`
-
 nz.explore(tiles='CartoDB positron')
 ```
 
 ### Exporting interactive maps
 
 An interactive map can be exported to an HTML file using the `.save` method of the `map` object.
 The HTML file can then be shared with other people, or published on a server and shared through a URL.
-A good free option for publishing a web map is [GitHub Pages](https://pages.github.com/).
+A good free option for publishing a web map is through [GitHub Pages](https://pages.github.com/).
 
-For example, here is how we can export the map shown in @fig-explore-layers-controls, to a file named `map.html`:
+For example, here is how we can export the map shown in @fig-explore-layers-controls, to a file named `map.html`.
 
 ```{python}
 #| output: false