|
f6067f58f3f54fe227482529ab3ac6d3
|
workbench.ipynb
|
Geospatial workbench
|
|
1be34f836d2b513931123ad833ff446d
|
aligner.ipynb
|
|
|
95b6c39ac95b62048485d8d5a28687c8
|
py_r_parquet.ipynb
|
Back and forth between geo-R/Python with Parquet
|
|
693117fc8f754d01f61cad53025436c9
|
contextily_labels.ipynb
|
Contextily labels examples
|
|
61fd268c6b728e205ef5fe1a99631763
|
raster_choropleths.ipynb
|
Choropleths for raster files in PySAL
|
|
6edf32b749cc5d987e0e07117a99c8a4
|
fuas.ipynb
|
|
|
c909209bc58fc0deddf46d8ec8fce6d0
|
h3_pysal.ipynb
|
H3 + PySAL
|
|
0eebcffe8447036f426163dd7b2e73ad
|
ons_api.ipynb
|
Access ONS geographies through their API
|
|
df4ec263c9b4aec08017c1d1eb9258f0
|
gridded_buildings.ipynb
|
Extracting the most building-dense grid cells in Spain
|
|
17b28779848970ff1b88d9930525ad2e
|
houston_in_15m.ipynb
|
Houston 15 minute walks
|
|
a2d08e1ca6369a95a1271fcc201f83c5
|
disparities.ipynb
|
Deprivation disparities between contiguous English areas
|
|
8d8f931a4414a52d82480db4f37c183e
|
networkW.ipynb
|
Spatial Weights Matrices as bundled networks
|
|
2117d718afd16157f44fa8258a0ad57d
|
serialise_geo_feather.ipynb
|
(De-)serialise geo objects in feather
|
|
e9cee717a64125a39db269b77598d998
|
strava_boroughs.ipynb
|
Strava Boroughs
|
|
0695d8eb6764dc6d31c7a2de6bc7a121
|
pt2xy2pt.ipynb
|
Conversion on `geopandas` points to XYs to points
|
|
1be17cfb4f06d2ec8bab2f230b84137a
|
palindromes.ipynb
|
Finding the longest palindrome in the UK
|
|
326c212df73efccad5ec1ff43cd0a369
|
legendgrams.ipynb
|
Histograms as choropleth legends
|
|
ba9103ee8d6f1645ab845344215f786b
|
geoplot_viridis.ipynb
|
`geoplot` Viridis
|
|
691ad184280590d1219ffcf9a1678030
|
brexit_lisa.ipynb
|
|
|
8b5a7b93d4085223f1c5
|
maup.ipynb
|
A computational exploration of the Modifiable Areal Unit Problem
|
|
41940dfe7bf4f987eeaa
|
pandas_dask_test.ipynb
|
Quick comparison between `pandas` and `dask` groupby functionality.
|
|
0495ddec8f6ab6e242c9
|
main_effect_plots.ipynb
|
Main Effect Plots
|
|
657e0568df7a63362762
|
pysal_lisa_maps.ipynb
|
LISA cluster maps with `PySAL`
|
|
af4efcfe5302f860d365
|
pysal_r_bench.ipynb
|
PySAL-R benchmarking
|
|
next
|