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cboettig commited on
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1aa7583
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1 Parent(s): eac0cee

pmtiles

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Files changed (3) hide show
  1. app.py +40 -35
  2. requirements.txt +435 -3
  3. static-maps.ipynb +98 -59
app.py CHANGED
@@ -1,44 +1,30 @@
 
 
 
 
 
 
 
 
1
  '''
2
  # LandVote Prototype
3
 
4
  '''
5
 
6
- import ibis
7
- from ibis import _
8
- import streamlit as st
9
 
10
- conn = ibis.duckdb.connect(extensions=["spatial"])
11
 
12
- state_boundaries = "https://data.source.coop/cboettig/us-boundaries/us-state-territory.parquet"
13
- county_boundaries = "https://data.source.coop/cboettig/us-boundaries/us-county.parquet"
14
- states = conn.read_parquet(state_boundaries).rename(state_id = "STUSPS", state = "NAME")
15
- county = conn.read_parquet(county_boundaries).rename(county = "NAMELSAD", state = "STATE_NAME")
16
 
17
- votes = conn.read_csv("landvote.csv")
18
- votes.count().execute()
19
 
20
- vote = (votes
21
- .filter(_["Jurisdiction Type"] == "County")
22
- .rename(county = "Jurisdiction Name", state_id = "State")
23
- .mutate(key = _.county + ibis.literal('-') + _.state_id)
24
- .rename(amount = 'Conservation Funds at Stake', yes = '% Yes')
25
- .mutate(amount_n=_.amount.replace('$', '').replace(',', '').cast('float'))
26
- .mutate(log_amount=_.amount_n.log())
27
- .mutate(year=_['Date'].year().cast('int32'))
28
- .select('key', 'Status', 'yes', 'year', 'amount', 'log_amount', )
29
- )
30
- df = (county
31
- .join(states.select("state", "state_id"), "state")
32
- .mutate(key = _.county + ibis.literal('-') + _.state_id)
33
- .select('key', 'geometry')
34
- .right_join(vote, "key")
35
- .drop('key_right')
36
- )
37
 
38
- year = st.slider("Select a year", min_value=1988, max_value=2024, value=2022, step=1)
39
- gdf = df.filter(_.year==year).execute()
40
 
 
41
 
 
 
42
 
43
  outcome = [
44
  'match',
@@ -51,12 +37,31 @@ paint = {"fill-extrusion-color": outcome,
51
  "fill-extrusion-opacity": 0.7,
52
  "fill-extrusion-height": ["*", ["get", "log_amount"], 5000],
53
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
54
 
55
- #m.add_geojson("vote.geojson")
56
- import leafmap.maplibregl as leafmap
57
- m = leafmap.Map(style="positron")
58
- m.add_gdf(gdf, "fill-extrusion", paint = paint)
 
 
 
 
 
59
  m.to_streamlit()
60
 
61
-
62
-
 
1
+ import ibis
2
+ from ibis import _
3
+ import streamlit as st
4
+
5
+ st.set_page_config(layout="wide",
6
+ page_title="TPL LandVote",
7
+ page_icon=":globe:")
8
+
9
  '''
10
  # LandVote Prototype
11
 
12
  '''
13
 
 
 
 
14
 
 
15
 
 
 
 
 
16
 
17
+ year = st.slider("Select a year", min_value=1988, max_value=2024, value=2022, step=2)
18
+ #gdf = df.filter(_.year==year).execute()
19
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
20
 
21
+ import leafmap.maplibregl as leafmap
22
+ m = leafmap.Map(style="positron")
23
 
24
+ url = "https://huggingface.co/datasets/boettiger-lab/landvote/resolve/main/vote.pmtiles"
25
 
26
+ #gdf = df.filter(_.year==1988).execute()
27
+ #gdf.to_file("vote.geojson")
28
 
29
  outcome = [
30
  'match',
 
37
  "fill-extrusion-opacity": 0.7,
38
  "fill-extrusion-height": ["*", ["get", "log_amount"], 5000],
39
  }
40
+ style = {
41
+ "layers": [
42
+ {
43
+ "id": "votes",
44
+ "source": "vote",
45
+ "source-layer": "vote",
46
+ "type": "fill-extrusion",
47
+ "filter": [
48
+ "==",
49
+ ["get", "year"],
50
+ year,
51
+ ], # only show buildings with height info
52
+ "paint": paint
53
+ },
54
+ ],
55
+ }
56
 
57
+ m.add_pmtiles(
58
+ url,
59
+ style=style,
60
+ visible=True,
61
+ opacity=1.0,
62
+ tooltip=True,
63
+ fit_bounds=True,
64
+ )
65
+ #m.add_layer_control()
66
  m.to_streamlit()
67
 
 
 
requirements.txt CHANGED
@@ -1,3 +1,435 @@
1
- leafmap[maplibre]
2
- ibis-framework[duckdb]
3
- streamlit
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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195
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203
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205
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221
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223
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+ numpy @ file:///home/conda/feedstock_root/build_artifacts/numpy_1707225376651/work/dist/numpy-1.26.4-cp311-cp311-linux_x86_64.whl#sha256=d08e1c9e5833ae7780563812aa73e2497db1ee3bd5510d3becb8aa18aa2d0c7c
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242
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243
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244
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245
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246
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249
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251
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254
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256
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296
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314
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316
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317
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318
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319
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320
+ python-dotenv @ file:///home/conda/feedstock_root/build_artifacts/python-dotenv-split_1706018097647/work
321
+ python-json-logger @ file:///home/conda/feedstock_root/build_artifacts/python-json-logger_1677079630776/work
322
+ python-multipart @ file:///home/conda/feedstock_root/build_artifacts/python-multipart_1727678737599/work
323
+ pytz @ file:///home/conda/feedstock_root/build_artifacts/pytz_1706886791323/work
324
+ PyWavelets==1.7.0
325
+ PyYAML @ file:///home/conda/feedstock_root/build_artifacts/pyyaml_1725456139051/work
326
+ pyzmq @ file:///home/conda/feedstock_root/build_artifacts/pyzmq_1725448927736/work
327
+ questionary @ file:///home/conda/feedstock_root/build_artifacts/questionary_1694185122745/work
328
+ rasterio @ file:///home/conda/feedstock_root/build_artifacts/rasterio_1727779744125/work
329
+ rasterstats @ file:///home/conda/feedstock_root/build_artifacts/rasterstats_1727684515773/work
330
+ ray==2.37.0
331
+ referencing @ file:///home/conda/feedstock_root/build_artifacts/referencing_1714619483868/work
332
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333
+ requests @ file:///home/conda/feedstock_root/build_artifacts/requests_1717057054362/work
334
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335
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336
+ rich @ file:///home/conda/feedstock_root/build_artifacts/rich_1728057819683/work/dist
337
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339
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340
+ rpds-py @ file:///home/conda/feedstock_root/build_artifacts/rpds-py_1725327039958/work
341
+ Rtree @ file:///home/conda/feedstock_root/build_artifacts/rtree_1725321001135/work
342
+ ruamel.yaml @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml_1707298093865/work
343
+ ruamel.yaml.clib @ file:///home/conda/feedstock_root/build_artifacts/ruamel.yaml.clib_1707314491256/work
344
+ s3fs @ file:///home/conda/feedstock_root/build_artifacts/s3fs_1725639782863/work
345
+ sb3_contrib==2.3.0
346
+ scikit-image @ file:///home/conda/feedstock_root/build_artifacts/scikit-image_1723842196846/work/dist/scikit_image-0.24.0-cp311-cp311-linux_x86_64.whl#sha256=c3407d28796dd3aec9370816604e9e58a66f2df233de265b91b9cedaa5a709f4
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+ scikit-learn @ file:///home/conda/feedstock_root/build_artifacts/scikit-learn_1726082671679/work/dist/scikit_learn-1.5.2-cp311-cp311-linux_x86_64.whl#sha256=6753395e01c95ce652a857cadd5d2ef87d7e19d2863954ada137ff60e7a181c1
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+ scikit-optimize @ file:///home/conda/feedstock_root/build_artifacts/scikit-optimize_1717589676915/work
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+ scipy @ file:///home/conda/feedstock_root/build_artifacts/scipy-split_1724327058754/work/dist/scipy-1.14.1-cp311-cp311-linux_x86_64.whl#sha256=ff8d4f27d1702c9e092c5325489afd2bcb2052209dd223c32b3117415a533a18
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+ scooby @ file:///home/conda/feedstock_root/build_artifacts/scooby_1714897440316/work
351
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352
+ Send2Trash @ file:///home/conda/feedstock_root/build_artifacts/send2trash_1712584999685/work
353
+ server-thread @ file:///home/conda/feedstock_root/build_artifacts/server-thread_1659016507919/work
354
+ shapely @ file:///home/conda/feedstock_root/build_artifacts/shapely_1727273422653/work
355
+ shellingham==1.5.4
356
+ shiny @ file:///home/conda/feedstock_root/build_artifacts/shiny_1725402425170/work
357
+ simpervisor @ file:///home/conda/feedstock_root/build_artifacts/simpervisor_1684441099342/work
358
+ simplejson @ file:///home/conda/feedstock_root/build_artifacts/simplejson_1724955051377/work
359
+ six @ file:///home/conda/feedstock_root/build_artifacts/six_1620240208055/work
360
+ smmap @ file:///home/conda/feedstock_root/build_artifacts/smmap_1634310307496/work
361
+ sniffio @ file:///home/conda/feedstock_root/build_artifacts/sniffio_1708952932303/work
362
+ snuggs @ file:///home/conda/feedstock_root/build_artifacts/snuggs_1722610615774/work
363
+ sortedcontainers @ file:///home/conda/feedstock_root/build_artifacts/sortedcontainers_1621217038088/work
364
+ soupsieve @ file:///home/conda/feedstock_root/build_artifacts/soupsieve_1693929250441/work
365
+ SQLAlchemy @ file:///home/conda/feedstock_root/build_artifacts/sqlalchemy_1726596181667/work
366
+ sqlglot @ file:///home/conda/feedstock_root/build_artifacts/sqlglot_1725660219720/work
367
+ stable_baselines3==2.3.2
368
+ stack-data @ file:///home/conda/feedstock_root/build_artifacts/stack_data_1669632077133/work
369
+ stackstac @ file:///home/conda/feedstock_root/build_artifacts/stackstac_1723457457779/work
370
+ starlette @ file:///home/conda/feedstock_root/build_artifacts/starlette-recipe_1727704425870/work
371
+ statsmodels @ file:///home/conda/feedstock_root/build_artifacts/statsmodels_1727986709728/work
372
+ streamlit @ file:///home/conda/feedstock_root/build_artifacts/streamlit_1727818352917/work
373
+ sympy @ file:///home/conda/feedstock_root/build_artifacts/sympy_1727529700862/work
374
+ tables @ file:///home/conda/feedstock_root/build_artifacts/pytables_1724161064612/work
375
+ tblib @ file:///home/conda/feedstock_root/build_artifacts/tblib_1702066284995/work
376
+ tenacity @ file:///home/conda/feedstock_root/build_artifacts/tenacity_1720351771156/work
377
+ tensorboard==2.18.0
378
+ tensorboard-data-server==0.7.2
379
+ tensorboardX==2.6.2.2
380
+ termcolor @ file:///home/conda/feedstock_root/build_artifacts/termcolor_1728288976871/work
381
+ terminado @ file:///home/conda/feedstock_root/build_artifacts/terminado_1710262609923/work
382
+ threadpoolctl @ file:///home/conda/feedstock_root/build_artifacts/threadpoolctl_1714400101435/work
383
+ tifffile @ file:///home/conda/feedstock_root/build_artifacts/tifffile_1727250434425/work
384
+ tiktoken==0.8.0
385
+ tinycss2 @ file:///home/conda/feedstock_root/build_artifacts/tinycss2_1713974937325/work
386
+ tinynetrc @ file:///home/conda/feedstock_root/build_artifacts/tinynetrc_1651262908904/work
387
+ toml @ file:///home/conda/feedstock_root/build_artifacts/toml_1604308577558/work
388
+ tomli @ file:///home/conda/feedstock_root/build_artifacts/tomli_1727974628237/work
389
+ toolz @ file:///home/conda/feedstock_root/build_artifacts/toolz_1706112571092/work
390
+ torch==2.4.1+cu121
391
+ torchaudio==2.4.1+cu121
392
+ torchvision==0.19.1+cu121
393
+ tornado @ file:///home/conda/feedstock_root/build_artifacts/tornado_1724956126282/work
394
+ tox @ file:///home/conda/feedstock_root/build_artifacts/tox_1728002942083/work
395
+ tqdm @ file:///home/conda/feedstock_root/build_artifacts/tqdm_1722737464726/work
396
+ traitlets @ file:///home/conda/feedstock_root/build_artifacts/traitlets_1713535121073/work
397
+ traittypes @ file:///home/conda/feedstock_root/build_artifacts/traittypes_1600843364635/work
398
+ triton==3.0.0
399
+ truststore @ file:///home/conda/feedstock_root/build_artifacts/truststore_1724770958874/work
400
+ typer==0.12.5
401
+ types-python-dateutil @ file:///home/conda/feedstock_root/build_artifacts/types-python-dateutil_1727940235703/work
402
+ typing-inspect @ file:///home/conda/feedstock_root/build_artifacts/typing_inspect_1685820062773/work
403
+ typing-utils @ file:///home/conda/feedstock_root/build_artifacts/typing_utils_1622899189314/work
404
+ typing_extensions @ file:///home/conda/feedstock_root/build_artifacts/typing_extensions_1717802530399/work
405
+ tzdata @ file:///home/conda/feedstock_root/build_artifacts/python-tzdata_1727140567071/work
406
+ tzlocal @ file:///home/conda/feedstock_root/build_artifacts/tzlocal_1724952013706/work
407
+ uc-micro-py @ file:///home/conda/feedstock_root/build_artifacts/uc-micro-py_1707507364877/work
408
+ ujson @ file:///home/conda/feedstock_root/build_artifacts/ujson_1724954423406/work
409
+ uri-template @ file:///home/conda/feedstock_root/build_artifacts/uri-template_1688655812972/work/dist
410
+ urllib3 @ file:///home/conda/feedstock_root/build_artifacts/urllib3_1726496430923/work
411
+ uvicorn @ file:///home/conda/feedstock_root/build_artifacts/uvicorn-split_1728547372073/work
412
+ validators @ file:///home/conda/feedstock_root/build_artifacts/validators_1725433541799/work
413
+ virtualenv @ file:///home/conda/feedstock_root/build_artifacts/virtualenv_1727513735030/work
414
+ wasabi==1.1.3
415
+ watchdog @ file:///home/conda/feedstock_root/build_artifacts/watchdog_1727641318602/work
416
+ watchfiles @ file:///home/conda/feedstock_root/build_artifacts/watchfiles_1725347054433/work
417
+ wcwidth @ file:///home/conda/feedstock_root/build_artifacts/wcwidth_1704731205417/work
418
+ webcolors @ file:///home/conda/feedstock_root/build_artifacts/webcolors_1723294704277/work
419
+ webencodings @ file:///home/conda/feedstock_root/build_artifacts/webencodings_1694681268211/work
420
+ websocket-client @ file:///home/conda/feedstock_root/build_artifacts/websocket-client_1713923384721/work
421
+ websockets @ file:///home/conda/feedstock_root/build_artifacts/websockets_1727013334584/work
422
+ Werkzeug @ file:///home/conda/feedstock_root/build_artifacts/werkzeug_1724330738730/work
423
+ whitebox @ file:///home/conda/feedstock_root/build_artifacts/whitebox_1721112900965/work
424
+ whiteboxgui @ file:///home/conda/feedstock_root/build_artifacts/whiteboxgui_1680061160584/work
425
+ widgetsnbextension @ file:///home/conda/feedstock_root/build_artifacts/widgetsnbextension_1724331337528/work
426
+ wrapt @ file:///home/conda/feedstock_root/build_artifacts/wrapt_1724957910886/work
427
+ xarray @ file:///home/conda/feedstock_root/build_artifacts/xarray_1728453175552/work
428
+ xlrd @ file:///home/conda/feedstock_root/build_artifacts/xlrd_1610224409810/work
429
+ xxhash @ file:///home/conda/feedstock_root/build_artifacts/python-xxhash_1725272033556/work
430
+ xyzservices @ file:///home/conda/feedstock_root/build_artifacts/xyzservices_1725366347586/work
431
+ yarl @ file:///home/conda/feedstock_root/build_artifacts/yarl_1728556272173/work
432
+ zarr @ file:///home/conda/feedstock_root/build_artifacts/zarr_1725539761754/work
433
+ zict @ file:///home/conda/feedstock_root/build_artifacts/zict_1681770155528/work
434
+ zipp @ file:///home/conda/feedstock_root/build_artifacts/zipp_1726248574750/work
435
+ zstandard==0.23.0
static-maps.ipynb CHANGED
@@ -2,7 +2,7 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": 124,
6
  "id": "b313a218-4778-4d5b-9036-f0370d4212a0",
7
  "metadata": {},
8
  "outputs": [],
@@ -43,48 +43,80 @@
43
  },
44
  {
45
  "cell_type": "code",
46
- "execution_count": 133,
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
47
  "id": "fa397626-6e94-4ab9-a3bb-2bcbd14e8d40",
48
  "metadata": {
49
  "scrolled": true
50
  },
51
- "outputs": [
52
- {
53
- "data": {
54
- "application/vnd.jupyter.widget-view+json": {
55
- "model_id": "e447c30d35374eb4a1d0a28b83b78159",
56
- "version_major": 2,
57
- "version_minor": 0
58
- },
59
- "text/plain": [
60
- "FloatProgress(value=0.0, layout=Layout(width='auto'), style=ProgressStyle(bar_color='black'))"
61
- ]
62
- },
63
- "metadata": {},
64
- "output_type": "display_data"
65
- },
66
- {
67
- "data": {
68
- "application/vnd.jupyter.widget-view+json": {
69
- "model_id": "b325fe101b644a36a48fb1ec7bc0fcd2",
70
- "version_major": 2,
71
- "version_minor": 1
72
- },
73
- "text/plain": [
74
- "Map(height='600px', map_options={'bearing': 0, 'center': (0, 20), 'pitch': 0, 'style': 'https://tiles.openfree…"
75
- ]
76
- },
77
- "execution_count": 133,
78
- "metadata": {},
79
- "output_type": "execute_result"
80
- }
81
- ],
82
  "source": [
83
  "import leafmap.maplibregl as leafmap\n",
84
  "m = leafmap.Map(style=\"positron\")\n",
85
  "\n",
 
86
  "\n",
87
- "gdf = df.filter(_.year==2022).execute()\n",
 
88
  "\n",
89
  "outcome = [\n",
90
  " 'match',\n",
@@ -97,32 +129,39 @@
97
  " \"fill-extrusion-opacity\": 0.7,\n",
98
  " \"fill-extrusion-height\": [\"*\", [\"get\", \"log_amount\"], 5000],\n",
99
  " }\n",
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
100
  "\n",
101
- "#m.add_geojson(\"vote.geojson\")\n",
102
- "m.add_gdf(gdf, \"fill-extrusion\", paint = paint)\n",
103
- "m"
104
- ]
105
- },
106
- {
107
- "cell_type": "code",
108
- "execution_count": 129,
109
- "id": "4f46a96e-e8ca-4c38-9164-08ab159e3832",
110
- "metadata": {},
111
- "outputs": [
112
- {
113
- "data": {
114
- "text/plain": [
115
- "19.90228528487658"
116
- ]
117
- },
118
- "execution_count": 129,
119
- "metadata": {},
120
- "output_type": "execute_result"
121
- }
122
- ],
123
- "source": [
124
- "import numpy as np \n",
125
- "np.log(440000000)"
126
  ]
127
  }
128
  ],
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": null,
6
  "id": "b313a218-4778-4d5b-9036-f0370d4212a0",
7
  "metadata": {},
8
  "outputs": [],
 
43
  },
44
  {
45
  "cell_type": "code",
46
+ "execution_count": null,
47
+ "id": "5d3bee26-7ca8-490c-be5b-fc69a6c3db2a",
48
+ "metadata": {},
49
+ "outputs": [],
50
+ "source": [
51
+ "import subprocess\n",
52
+ "import os\n",
53
+ "from huggingface_hub import HfApi, login\n",
54
+ "import streamlit as st\n",
55
+ "\n",
56
+ "login(st.secrets[\"HF_TOKEN\"])\n",
57
+ "api = HfApi(add_to_git_credential=False)\n",
58
+ "\n",
59
+ "def hf_upload(file, repo_id):\n",
60
+ " info = api.upload_file(\n",
61
+ " path_or_fileobj=file,\n",
62
+ " path_in_repo=file,\n",
63
+ " repo_id=repo_id,\n",
64
+ " repo_type=\"dataset\",\n",
65
+ " )\n",
66
+ "def generate_pmtiles(input_file, output_file, max_zoom=12):\n",
67
+ " # Ensure Tippecanoe is installed\n",
68
+ " if subprocess.call([\"which\", \"tippecanoe\"], stdout=subprocess.DEVNULL) != 0:\n",
69
+ " raise RuntimeError(\"Tippecanoe is not installed or not in PATH\")\n",
70
+ "\n",
71
+ " # Construct the Tippecanoe command\n",
72
+ " command = [\n",
73
+ " \"tippecanoe\",\n",
74
+ " \"-o\", output_file,\n",
75
+ " \"-z\", str(max_zoom),\n",
76
+ " \"--drop-densest-as-needed\",\n",
77
+ " \"--extend-zooms-if-still-dropping\",\n",
78
+ " \"--force\",\n",
79
+ " input_file\n",
80
+ " ]\n",
81
+ "\n",
82
+ " # Run Tippecanoe\n",
83
+ " try:\n",
84
+ " subprocess.run(command, check=True)\n",
85
+ " print(f\"Successfully generated PMTiles file: {output_file}\")\n",
86
+ " except subprocess.CalledProcessError as e:\n",
87
+ " print(f\"Error running Tippecanoe: {e}\")\n",
88
+ "\n"
89
+ ]
90
+ },
91
+ {
92
+ "cell_type": "code",
93
+ "execution_count": null,
94
+ "id": "ac91a627-70a8-4e60-b3ef-66e9c1e02762",
95
+ "metadata": {},
96
+ "outputs": [],
97
+ "source": [
98
+ "df.execute().to_file(\"vote.geojson\")\n",
99
+ "generate_pmtiles(\"vote.geojson\", \"vote.pmtiles\")\n",
100
+ "hf_upload(\"vote.pmtiles\", \"boettiger-lab/landvote\")\n",
101
+ "\n"
102
+ ]
103
+ },
104
+ {
105
+ "cell_type": "code",
106
+ "execution_count": null,
107
  "id": "fa397626-6e94-4ab9-a3bb-2bcbd14e8d40",
108
  "metadata": {
109
  "scrolled": true
110
  },
111
+ "outputs": [],
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
112
  "source": [
113
  "import leafmap.maplibregl as leafmap\n",
114
  "m = leafmap.Map(style=\"positron\")\n",
115
  "\n",
116
+ "url = \"https://huggingface.co/datasets/boettiger-lab/landvote/resolve/main/vote.pmtiles\"\n",
117
  "\n",
118
+ "#gdf = df.filter(_.year==1988).execute()\n",
119
+ "#gdf.to_file(\"vote.geojson\")\n",
120
  "\n",
121
  "outcome = [\n",
122
  " 'match',\n",
 
129
  " \"fill-extrusion-opacity\": 0.7,\n",
130
  " \"fill-extrusion-height\": [\"*\", [\"get\", \"log_amount\"], 5000],\n",
131
  " }\n",
132
+ "style = {\n",
133
+ " \"layers\": [\n",
134
+ " {\n",
135
+ " \"id\": \"votes\",\n",
136
+ " \"source\": \"vote\",\n",
137
+ " \"source-layer\": \"vote\",\n",
138
+ " \"type\": \"fill-extrusion\",\n",
139
+ " \"filter\": [\n",
140
+ " \"==\",\n",
141
+ " [\"get\", \"year\"],\n",
142
+ " 1988,\n",
143
+ " ], # only show buildings with height info\n",
144
+ " \"paint\": paint\n",
145
+ " },\n",
146
+ " ],\n",
147
+ "}\n",
148
  "\n",
149
+ "m.add_pmtiles(\n",
150
+ " url,\n",
151
+ " style=style,\n",
152
+ " visible=True,\n",
153
+ " opacity=1.0,\n",
154
+ " tooltip=True,\n",
155
+ " fit_bounds=False,\n",
156
+ ")\n",
157
+ "#m.add_layer_control()\n",
158
+ "m\n",
159
+ "\n",
160
+ "\n",
161
+ "\n",
162
+ "#m.add_geojson(\"vote.geojson\", \"fill-extrusion\", paint = paint)\n",
163
+ "#m.add_gdf(gdf, \"fill-extrusion\", paint = paint)\n",
164
+ "#m"
 
 
 
 
 
 
 
 
 
165
  ]
166
  }
167
  ],