Figure 3: Backgroundmaps

[yvonnefroehlich]

This PR adds a JN for backgroundmaps:

• Downloade on of the GMT remote datasets and plot it via Figure.grdimage
• Downloade tiled maps using contextily and plot it via Figure.tilemaps

[gitnotebooks]

Found 1 changed notebook. Review the changes at https://app.gitnotebooks.com/GenericMappingTools/pygmt-paper-figures/pull/8

[seisman]

@yvonnefroehlich What about extending this example to include more basemap types? Below are four basemaps that can fit in a 2x2 subplot layout.

• A coastline-type basemap, with coastlines, and colored land/ocean
• A topographic map [Already in the example]
• A tilemap-style basemap [Already in the example]
• Another map that uses one of the remote dataset (e.g., earth_day/earth_geoid) or a contour map?

Users unfamiliar with GMT can get a first impression of the types of basemaps PyGMT offers, while experienced GMT users can discover that PyGMT supports tilemap-style basemaps.

Please let me know that you think and I'd like to help if you don't have time to work on it.

[yvonnefroehlich]

@yvonnefroehlich What about extending this example to include more basemap types? Below are four basemaps that can fit in a 2x2 subplot layout.

• A coastline-type basemap, with coastlines, and colored land/ocean

There is already an example for Figure.coast (PR #1, https://github.com/GenericMappingTools/pygmt-paper-figures/blob/main/basic-map.ipynb). Do we want to replace this separate example and include it in this basemap example?
In this case, we would save one image for something else. I remember that there is a limit for the number of images by G^3.

• A topographic map [Already in the example]
• A tilemap-style basemap [Already in the example]
• Another map that uses one of the remote dataset (e.g., earth_day/earth_geoid) or a contour map?

Just tried the crustal age dataset, as this one is interesting for the area of Island.

Users unfamiliar with GMT can get a first impression of the types of basemaps PyGMT offers, while experienced GMT users can discover that PyGMT supports tilemap-style basemaps.

Please let me know that you think and I'd like to help if you don't have time to work on it.

I just added the other two maps for the region Island. Feel free to modify the codes, including choosing another area or dataset and re-ordering the maps.

[seisman]

@yvonnefroehlich What about extending this example to include more basemap types? Below are four basemaps that can fit in a 2x2 subplot layout.

• A coastline-type basemap, with coastlines, and colored land/ocean

There is already an example for Figure.coast (PR #1, https://github.com/GenericMappingTools/pygmt-paper-figures/blob/main/basic-map.ipynb). Do we want to replace this separate example and include it in this basemap example? In this case, we would save one image for something else. I remember that there is a limit for the number of images by G^3.

I prefer to use the following figure generated by #4 as our Figure 2. It's similar to the one in PR #1, but for a global region.

Then in this example, a regional coastline-style base map makes more sense.

I just added the other two maps for the region Island. Feel free to modify the codes, including choosing another area or dataset and re-ordering the maps.

Thanks. My suggestions are:

• Use the same region for the 4 basemaps, so that users won't be distracted by the boxes in panels (a),(b),(c).
• I'm thinking about removing the bottom-left one, and adding a satellite image like https://www.pygmt.org/dev/gallery/images/rgb_image.html#sphx-glr-gallery-images-rgb-image-py (I've no experience with satellite images, so likely need @weiji14's help.).

[weiji14]

• I'm thinking about removing the bottom-left one, and adding a satellite image like https://www.pygmt.org/dev/gallery/images/rgb_image.html#sphx-glr-gallery-images-rgb-image-py (I've no experience with satellite images, so likely need @weiji14's help.).

Do you want a proper satellite image (e.g. Sentinel-3 or MODIS), or just use Blue Marble @earth_day/load_blue_marble? The satellite image might require quite a few lines of code as I'll need to reproject from UTM to lon/lat (so the frame is consistent across all 4 subplots), but doable. Just depends on what you want to show in the paper.