diff --git a/CHANGELOG.md b/CHANGELOG.md index 271055fe..aebaae9e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -16,6 +16,10 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - Added a test guard that rejects fixture files larger than 5 MB. - Added ML variants of converters (`ai4sf_ml`, `de_fusion_ml`, `india_10k_ml`, `rw_rwanda_ml`, `za_fusion_ml`) that publish each field's train/val/test split. - AT: Added support for 2018 by extracting archives before reading. +- CH: + - Added converters for every canton with standalone data (`ch_`) on a shared `CHBaseConverter`, each with the canton's own licence and attribution; Basel-Stadt is represented by the Basel-Landschaft data. + - `ch_zh` (2017–2025), `ch_ge` (2017–2026) and `ch_sz` (2022–2025) read the cantons' own archives; the cantons that require registration or approval convert an exported file with `-i`. + - The federal usage code (`lnf_code`) is published as `crop:code`, and HCAT is mapped by it (`code/ch/lnf_code.csv`). - DE-BW: Added Baden-Württemberg reference parcels converter. - DE-BY-BLOCK: Added Bavaria field-block converter. - DE-FUSION: Added Brandenburg converter based on the ESA Fusion Competition dataset. @@ -72,6 +76,9 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - SI: Extended editions back to 2019. - US-CSB: Editions now cover 2017-2024. +### Removed +- CH: Removed the national `ch` converter, whose single licence could not cover the cantons' differing terms; the canton converters replace it, and a Swiss file is `fiboa merge` of their outputs. + ### Fixed - Added HCAT spelling fixes via `csv_supplements` for DE-BB, DE-NDS and EC-SI. - Declared the `beautifulsoup4` dependency used by ES-PV and ES-VC. @@ -83,10 +90,6 @@ and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0. - `metrics:area` measured from the geometry is now correct in CRSs that are in metres but not equal-area, such as Web Mercator: they are reprojected to an equal-area CRS first. Source areas in hectares are converted to m² also where missing values are filled in, and empty values are filled in, not only 0. Invalid geometries are repaired before they are measured, as they are for the output, so that e.g. a self-intersecting polygon no longer gets an area of 0. - Converters no longer publish duplicate `id`s (#282): row-numbered ids count over all source files instead of restarting per file, and ids the source repeats get a `~` suffix. - Rows missing `crop:code` are now dropped with a warning (and an error threshold), instead of failing whole conversions. -- CH: - - CH now uses geodienste.ch STAC canton downloads. - - `lnf_code` is now published as `crop:code`. - - IDs are now derived from stable source identifiers instead of row order. - DE-BB: - Excluded NBF ineligible patches with empty crop code. - Fixed source encoding and FLIK handling. diff --git a/fiboa_cli/datasets/ch.py b/fiboa_cli/datasets/ch.py deleted file mode 100644 index fe391bcc..00000000 --- a/fiboa_cli/datasets/ch.py +++ /dev/null @@ -1,57 +0,0 @@ -import pandas as pd -import requests -from vecorel_cli.conversion.admin import AdminConverterMixin - -from ..conversion.fiboa_converter import FiboaBaseConverter -from .commons.hcat import AddHCATMixin - -SERVICES_URL = "https://www.geodienste.ch/info/services.json?base_topics=lwb_nutzungsflaechen" -OPEN = "Frei erhältlich" # NE, TI need registration; NW, OW, VD approval; FL has no data - - -class Converter(AdminConverterMixin, AddHCATMixin, FiboaBaseConverter): - id = "ch" - short_name = "Switzerland" - title = "Field boundaries for Switzerland" - description = "The cropfields of Switzerland (Nutzungsflächen) are published per administrative subdivision called Canton." - provider = ( - "Konferenz der kantonalen Geoinformations- und Katasterstellen " - ) - license = "opendata.swiss terms of use " - columns = { - "geometry": "geometry", - "flaeche_m2": "metrics:area", - "kanton": "admin:subdivision_code", - "lnf_code": "crop:code", # code of the federal usage catalogue (LNF_Katalog_Nutzungsart) - "nutzung": "crop:name", - "bezugsjahr": "determination:datetime", - } - column_filters = { - "ist_ueberlagernd": lambda col: col == False, # noqa: E712 - } - area_is_in_ha = False - column_migrations = { - "bezugsjahr": lambda col: pd.to_datetime(col, format="%Y"), - # crop:code must be a string per the crop extension; lnf_code is an integer. - "lnf_code": lambda col: col.astype(str), - "flaeche_m2": lambda col: col.astype(float), - } - hcat_mapping_csv = "https://fiboa.org/code/ch/ch.csv" - - def get_urls(self): - # Look up each open canton's GeoPackage; the link embeds the model version (v2_0/v3_0). - services = requests.get(SERVICES_URL, timeout=60) - services.raise_for_status() - - urls = {} - for service in sorted(services.json()["services"], key=lambda s: s["canton"]): - if service["publication_data"] != OPEN: - self.info(f"Skipping canton {service['canton']}: {service['publication_data']}") - continue - item = requests.get(service["stac_item_url"], timeout=60) - item.raise_for_status() - urls[item.json()["assets"]["geopackage_zip"]["href"]] = ["geopackage/*.gpkg"] - return urls - - # Combine canton with internal id to make it unique - id_columns = ("kanton", "nutzungsidentifikator") diff --git a/fiboa_cli/datasets/ch_ag.py b/fiboa_cli/datasets/ch_ag.py new file mode 100644 index 00000000..cfe9d2b1 --- /dev/null +++ b/fiboa_cli/datasets/ch_ag.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "AG" diff --git a/fiboa_cli/datasets/ch_ai.py b/fiboa_cli/datasets/ch_ai.py new file mode 100644 index 00000000..b1f071c6 --- /dev/null +++ b/fiboa_cli/datasets/ch_ai.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "AI" diff --git a/fiboa_cli/datasets/ch_ar.py b/fiboa_cli/datasets/ch_ar.py new file mode 100644 index 00000000..85ab1033 --- /dev/null +++ b/fiboa_cli/datasets/ch_ar.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "AR" diff --git a/fiboa_cli/datasets/ch_base.py b/fiboa_cli/datasets/ch_base.py new file mode 100644 index 00000000..ef726dd6 --- /dev/null +++ b/fiboa_cli/datasets/ch_base.py @@ -0,0 +1,224 @@ +import pandas as pd +import requests +from vecorel_cli.conversion.admin import AdminConverterMixin + +from ..conversion.fiboa_converter import FiboaBaseConverter +from .commons.hcat import AddHCATMixin + +SERVICES_URL = "https://www.geodienste.ch/info/services.json?base_topics=lwb_nutzungsflaechen" +SERVICE_PAGE = "https://www.geodienste.ch/services/lwb_nutzungsflaechen" +OPEN = "Frei erhältlich" # the others need registration or the canton's approval +# the federal usage catalogue with its HCAT mapping; the cantons share the codes, not the names +CODE_LIST = "https://fiboa.org/code/ch/lnf_code.csv" + +# Terms as the Info column of the geodienste.ch service page shows them (2026-09-24): CC-BY-4.0 +# where the source is required, CC0-1.0 for "Freie Nutzung", the canton's own conditions where no +# opendata.swiss term is shown. source: the citation the canton prescribes, or its name. +# access: the canton publishes on request only. BS is left out: its file is empty, its plots are +# in the BL file. +CANTONS = { + "AG": {"name": "Aargau", "license": "CC-BY-4.0", "source": "Daten des Kantons Aargau"}, + "AI": { + "name": "Appenzell Innerrhoden", + "license": "CC-BY-4.0", + "source": "Grundlage/Quelle: Geodaten Kanton/Bezirke Appenzell I.Rh.", + }, + "AR": { + "name": "Appenzell Ausserrhoden", + "license": "CC0-1.0", + "source": "Kanton Appenzell Ausserrhoden", + }, + "BE": {"name": "Bern", "license": "CC-BY-4.0", "source": "Kanton Bern, Amt für Geoinformation"}, + "BL": {"name": "Basel-Landschaft", "license": "CC-BY-4.0", "source": "Kanton Basel-Landschaft"}, + "FR": { + "name": "Fribourg", + "license": "CC-BY-4.0", + "source": "État de Fribourg / Kanton Freiburg", + }, + "GE": {"name": "Geneva", "license": "CC-BY-4.0", "source": "Données SITG, État de Genève"}, + "GL": {"name": "Glarus", "license": "CC0-1.0", "source": "Kanton Glarus"}, + "GR": { + "name": "Graubünden", + "license": "Nutzungsbestimmungen für Geodaten ", + # the canton's own syntax: "Quelle: [Datenbestand], Kanton Graubünden" + "attribution": f"Quelle: Landwirtschaftliche Nutzungsflächen, Kanton Graubünden, {SERVICE_PAGE}", + }, + "JU": { + "name": "Jura", + "license": "CC-BY-4.0", + "source": "Géodonnées de la République et Canton du Jura", + }, + "LU": {"name": "Luzern", "license": "CC-BY-4.0", "source": "Kanton Luzern"}, + "NE": { + "name": "Neuchâtel", + "license": "CC-BY-4.0", + "source": "Données SITN, http://www.ne.ch/sitn", + "access": "registration", + }, + "NW": { + "name": "Nidwalden", + "license": "GIS Daten AG Nutzungsbestimmungen für Geodaten und Geodienste ", + "source": "Quelle: GIS Daten AG, Kanton Nidwalden", + "access": "approval", + }, + "OW": { + "name": "Obwalden", + "license": "GIS Daten AG Nutzungsbestimmungen für Geodaten und Geodienste ", + "source": "Quelle: GIS Daten AG, Kanton Obwalden", + "access": "approval", + }, + "SG": { + "name": "St. Gallen", + "license": "Nutzungsbedingungen für Geodaten ", + "source": "Kanton St.Gallen", + }, + "SH": {"name": "Schaffhausen", "license": "CC0-1.0", "source": "Kanton Schaffhausen"}, + "SO": {"name": "Solothurn", "license": "CC0-1.0", "source": "Kanton Solothurn"}, + "SZ": { + "name": "Schwyz", + "license": "CC-BY-4.0", + "source": "Amt für Landwirtschaft (AFL), Kanton Schwyz", + }, + "TG": {"name": "Thurgau", "license": "CC-BY-4.0", "source": "Kanton Thurgau"}, + "TI": { + "name": "Ticino", + "license": "CC-BY-4.0", + "source": "Fonte: Amministrazione cantonale - Canton Ticino", + "access": "registration", + }, + "UR": {"name": "Uri", "license": "CC-BY-4.0", "source": "Quelle: Lisag AG (GIS Uri)"}, + "VD": { + "name": "Vaud", + "license": "Conditions d'utilisation des géodonnées ", + "source": "État de Vaud", + "access": "approval", + }, + "VS": {"name": "Valais", "license": "CC-BY-4.0", "source": "Canton du Valais / Kanton Wallis"}, + "ZG": {"name": "Zug", "license": "CC-BY-4.0", "source": "Quelle: GIS Kanton Zug"}, + "ZH": { + "name": "Zürich", + "license": "CC0-1.0", + "source": "Kanton Zürich, Amt für Landschaft und Natur", + }, +} +ACCESS = { + "registration": "Registration on geodienste.ch is required for this canton", + "approval": "The canton has to approve the download on geodienste.ch", +} + + +class CHBaseConverter(AdminConverterMixin, AddHCATMixin, FiboaBaseConverter): + """One canton of the Swiss usage areas ("Nutzungsflächen", federal model 153.1). + + Reads the canton's GeoPackage from geodienste.ch and fills the metadata from CANTONS, so a + subclass only names its canton. A canton with its own archive declares `variants` (None is + the geodienste.ch file, anything else its own source) and `source_columns`. + """ + + canton = "" # two letters, set by the subclass + columns = { + "geometry": "geometry", + "flaeche_m2": "metrics:area", + "kanton": "admin:subdivision_code", + "lnf_code": "crop:code", + "nutzung": "crop:name", + "bezugsjahr": "determination:datetime", + } + column_filters = { + "ist_ueberlagernd": lambda col: col == False, # noqa: E712 + "lnf_code": lambda col: col.notna(), # crop:code is required + } + area_is_in_ha = False + column_migrations = { + "bezugsjahr": lambda col: pd.to_datetime(col.astype(int), format="%Y"), + # crop:code is a string + "lnf_code": lambda col: col.astype(str), + "flaeche_m2": lambda col: col.astype(float), + } + hcat_mapping_csv = CODE_LIST + # Combine canton with internal id to make it unique + id_columns = ("kanton", "nutzungsidentifikator") + + # a canton's own archive: its column names mapped to the model's, and its area unit in m² + source_columns = {} + area_factor = 1 + + def __init__(self, *args, **kwargs): + if self.canton: + info = CANTONS[self.canton] + self.id = self.id or f"ch_{self.canton.lower()}" + self.short_name = self.short_name or f"Switzerland, {info['name']}" + self.title = ( + self.title or f"Field boundaries for the canton of {info['name']}, Switzerland" + ) + self.description = self.description or ( + f"The agricultural usage areas (Nutzungsflächen) of the canton of {info['name']}, " + "in their current state on geodienste.ch." + ) + self.provider = ( + self.provider or f"Kanton {info['name']}, via geodienste.ch <{SERVICE_PAGE}>" + ) + self.license = self.license or info["license"] + self.attribution = self.attribution or info.get( + "attribution", + f"{info.get('source')} — Landwirtschaftliche Nutzungsflächen, {SERVICE_PAGE}", + ) + if info.get("access") and not self.data_access: + self.data_access = ( + f"{ACCESS[info['access']]}: apply at {SERVICE_PAGE}, export the GeoPackage " + f"and convert it with `fiboa convert {self.id} -i '|geopackage/*.gpkg'`." + ) + super().__init__(*args, **kwargs) + assert not self.canton or self.id == f"ch_{self.canton.lower()}", "id must be ch_" + + def select_variant(self, variant): + super().select_variant(variant) + if self.variants and self.variant not in self.variants: + raise ValueError( + f"Unknown variant '{self.variant}', choose from {', '.join(self.variants)}" + ) + + def get_services(self): + services = requests.get(SERVICES_URL, timeout=60) + services.raise_for_status() + return sorted(services.json()["services"], key=lambda s: s["canton"]) + + @staticmethod + def get_geopackage_url(service): + # the link embeds the model version (v2_0/v3_0) + item = requests.get(service["stac_item_url"], timeout=60) + item.raise_for_status() + return item.json()["assets"]["geopackage_zip"]["href"] + + def get_urls(self): + if self.variants and self.variants[self.variant] is not None: + return self.variants[self.variant] # the canton's own source for that year + service = next((s for s in self.get_services() if s["canton"] == self.canton), None) + if service is None: + raise ValueError(f"{self.canton} is not listed on geodienste.ch") + if service["publication_data"] != OPEN: + raise ValueError(f"{self.canton}: {service['publication_data']}. {self.data_access}") + return {self.get_geopackage_url(service): ["geopackage/*.gpkg"]} + + def file_migration(self, gdf, path, uri, layer=None): + if "nutzungsidentifikator" in gdf.columns: + # a geodienste.ch file is the canton's current publication: it must be the variant's year + if self.variants and (gdf["bezugsjahr"] != int(self.variant)).any(): + years = ", ".join(str(y) for y in sorted(gdf["bezugsjahr"].unique())) + raise ValueError( + f"{self.canton}: the geodienste.ch file holds {years}, not {self.variant}; " + "add the year as a variant" + ) + return gdf + # the canton's own layer; "0613" and 613.0 both become 613, the string cast follows the filters + gdf = gdf.rename(columns=self.source_columns) + gdf["lnf_code"] = pd.to_numeric(gdf["lnf_code"]).astype("Int64") + if "flaeche_m2" in gdf.columns and self.area_factor != 1: + gdf["flaeche_m2"] = gdf["flaeche_m2"] * self.area_factor + if "bezugsjahr" in gdf.columns: + gdf["bezugsjahr"] = pd.to_numeric(gdf["bezugsjahr"]).astype("Int64") + else: + gdf["bezugsjahr"] = int(self.variant) + gdf["kanton"] = self.canton + gdf["ist_ueberlagernd"] = False # the cantons' own layers have no overlapping elements + return gdf diff --git a/fiboa_cli/datasets/ch_be.py b/fiboa_cli/datasets/ch_be.py new file mode 100644 index 00000000..3b81a1b5 --- /dev/null +++ b/fiboa_cli/datasets/ch_be.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "BE" diff --git a/fiboa_cli/datasets/ch_bl.py b/fiboa_cli/datasets/ch_bl.py new file mode 100644 index 00000000..c4711d7d --- /dev/null +++ b/fiboa_cli/datasets/ch_bl.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "BL" diff --git a/fiboa_cli/datasets/ch_fr.py b/fiboa_cli/datasets/ch_fr.py new file mode 100644 index 00000000..8155e870 --- /dev/null +++ b/fiboa_cli/datasets/ch_fr.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "FR" diff --git a/fiboa_cli/datasets/ch_ge.py b/fiboa_cli/datasets/ch_ge.py new file mode 100644 index 00000000..1bf861f2 --- /dev/null +++ b/fiboa_cli/datasets/ch_ge.py @@ -0,0 +1,33 @@ +from .ch_base import CHBaseConverter + +# every year since 2017 in one layer, rebuilt weekly +ZIP = "https://ge.ch/sitg/geodata/SITG/OPENDATA/AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip" + + +class Converter(CHBaseConverter): + canton = "GE" + variants = { + str(year): {ZIP: "AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip"} for year in range(2026, 2016, -1) + } + description = """ +The agricultural parcels that Geneva's farmers georeference every year for the direct payments +("surfaces agricoles recensées"), from the canton's geoportal SITG, which publishes every year +since 2017 in one layer. The usage is named in French; the code is the federal one. The current +year is provisional until December. + """ + provider = ( + "État de Genève, Office cantonal de l'agriculture et de la nature " + ) + attribution = "Données SITG, État de Genève — Surfaces agricoles recensées, https://ge.ch/sitg/geodata/SITG/OPENDATA/AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip" + source_columns = { + "ID": "nutzungsidentifikator", + "CODE_FED": "lnf_code", + "TYPE": "nutzung", + "SHAPE_AREA": "flaeche_m2", + "EXERCICE": "bezugsjahr", + } + + def select_variant(self, variant): + super().select_variant(variant) + year = int(self.variant) + self.column_filters["bezugsjahr"] = lambda col: col == year # one file holds every year diff --git a/fiboa_cli/datasets/ch_gl.py b/fiboa_cli/datasets/ch_gl.py new file mode 100644 index 00000000..39408173 --- /dev/null +++ b/fiboa_cli/datasets/ch_gl.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "GL" diff --git a/fiboa_cli/datasets/ch_gr.py b/fiboa_cli/datasets/ch_gr.py new file mode 100644 index 00000000..3faff2ec --- /dev/null +++ b/fiboa_cli/datasets/ch_gr.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "GR" diff --git a/fiboa_cli/datasets/ch_ju.py b/fiboa_cli/datasets/ch_ju.py new file mode 100644 index 00000000..faee610b --- /dev/null +++ b/fiboa_cli/datasets/ch_ju.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "JU" diff --git a/fiboa_cli/datasets/ch_lu.py b/fiboa_cli/datasets/ch_lu.py new file mode 100644 index 00000000..20fa3f76 --- /dev/null +++ b/fiboa_cli/datasets/ch_lu.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "LU" diff --git a/fiboa_cli/datasets/ch_ne.py b/fiboa_cli/datasets/ch_ne.py new file mode 100644 index 00000000..2899b1b6 --- /dev/null +++ b/fiboa_cli/datasets/ch_ne.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "NE" diff --git a/fiboa_cli/datasets/ch_nw.py b/fiboa_cli/datasets/ch_nw.py new file mode 100644 index 00000000..8816e860 --- /dev/null +++ b/fiboa_cli/datasets/ch_nw.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "NW" diff --git a/fiboa_cli/datasets/ch_ow.py b/fiboa_cli/datasets/ch_ow.py new file mode 100644 index 00000000..5cbfdfb9 --- /dev/null +++ b/fiboa_cli/datasets/ch_ow.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "OW" diff --git a/fiboa_cli/datasets/ch_sg.py b/fiboa_cli/datasets/ch_sg.py new file mode 100644 index 00000000..f060752a --- /dev/null +++ b/fiboa_cli/datasets/ch_sg.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "SG" diff --git a/fiboa_cli/datasets/ch_sh.py b/fiboa_cli/datasets/ch_sh.py new file mode 100644 index 00000000..4644b576 --- /dev/null +++ b/fiboa_cli/datasets/ch_sh.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "SH" diff --git a/fiboa_cli/datasets/ch_so.py b/fiboa_cli/datasets/ch_so.py new file mode 100644 index 00000000..923e830f --- /dev/null +++ b/fiboa_cli/datasets/ch_so.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "SO" diff --git a/fiboa_cli/datasets/ch_sz.py b/fiboa_cli/datasets/ch_sz.py new file mode 100644 index 00000000..d4d7bef4 --- /dev/null +++ b/fiboa_cli/datasets/ch_sz.py @@ -0,0 +1,34 @@ +from ..conversion.converter_wfs import WFSConverterMixin +from .ch_base import CHBaseConverter + + +class Converter(WFSConverterMixin, CHBaseConverter): + canton = "SZ" + # 2025 is the geodienste.ch file (None), the earlier years the canton's own WFS layers + variants = {"2025": None, "2024": "2024", "2023": "2023", "2022": "2022"} + description = """ +The agricultural usage areas (Nutzungsflächen) of the canton of Schwyz: the current year from +the canton's file on geodienste.ch, 2022 to 2024 from the canton's own WFS, whose layers keep +one feature per part of a field and few attributes, so the area is measured and the ids differ +from the current year's. + """ + provider = "Kanton Schwyz, Amt für Landwirtschaft " + + wfs_url = "https://map.geo.sz.ch/mapserv_proxy" + wfs_page_size = 20_000 # GML 3.2 is the only output; a page of 20k features is 45 MB + # a multipart field is one feature per part with the same id: the base numbers the parts, and + # groesse (the whole field, in ares) is left out so each part is measured + source_columns = { + "nutzungsid": "nutzungsidentifikator", + "nutzart_co": "lnf_code", + "nutzart": "nutzung", + } + + def get_wfs_params(self): + # MapServer pages in a stable order only when sorted + return {"typeNames": f"ms:ch.sz.a002a.nutzung.{self.variant}", "sortBy": "nutzungsid"} + + def get_urls(self): + if self.variants[self.variant] is None: + return CHBaseConverter.get_urls(self) # the geodienste.ch file + return super().get_urls() # the WFS pages diff --git a/fiboa_cli/datasets/ch_tg.py b/fiboa_cli/datasets/ch_tg.py new file mode 100644 index 00000000..f33b1077 --- /dev/null +++ b/fiboa_cli/datasets/ch_tg.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "TG" diff --git a/fiboa_cli/datasets/ch_ti.py b/fiboa_cli/datasets/ch_ti.py new file mode 100644 index 00000000..c634602a --- /dev/null +++ b/fiboa_cli/datasets/ch_ti.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "TI" diff --git a/fiboa_cli/datasets/ch_ur.py b/fiboa_cli/datasets/ch_ur.py new file mode 100644 index 00000000..abd9c6a7 --- /dev/null +++ b/fiboa_cli/datasets/ch_ur.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "UR" diff --git a/fiboa_cli/datasets/ch_vd.py b/fiboa_cli/datasets/ch_vd.py new file mode 100644 index 00000000..0b504649 --- /dev/null +++ b/fiboa_cli/datasets/ch_vd.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "VD" diff --git a/fiboa_cli/datasets/ch_vs.py b/fiboa_cli/datasets/ch_vs.py new file mode 100644 index 00000000..e3bce067 --- /dev/null +++ b/fiboa_cli/datasets/ch_vs.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "VS" diff --git a/fiboa_cli/datasets/ch_zg.py b/fiboa_cli/datasets/ch_zg.py new file mode 100644 index 00000000..814d5ed5 --- /dev/null +++ b/fiboa_cli/datasets/ch_zg.py @@ -0,0 +1,5 @@ +from .ch_base import CHBaseConverter + + +class Converter(CHBaseConverter): + canton = "ZG" diff --git a/fiboa_cli/datasets/ch_zh.py b/fiboa_cli/datasets/ch_zh.py new file mode 100644 index 00000000..3395fd19 --- /dev/null +++ b/fiboa_cli/datasets/ch_zh.py @@ -0,0 +1,34 @@ +from ..conversion.converter_wfs import WFSConverterMixin +from .ch_base import CHBaseConverter + + +class Converter(WFSConverterMixin, CHBaseConverter): + canton = "ZH" + # the canton's open-data WFS keeps one layer per year + variants = {str(year): str(year) for year in range(2025, 2016, -1)} + description = """ +The agricultural usage areas (Nutzungsflächen) of the canton of Zürich from the canton's own +open-data WFS, which keeps one layer per year since 2017. 2017 and 2018 cover only part of the +canton, as the digital recording was introduced step by step. The layers also hold the fields +that Zürich farms cultivate in neighbouring cantons (two per cent of the rows), as the canton's +file on geodienste.ch does. + """ + provider = "Kanton Zürich, Amt für Landschaft und Natur " + attribution = "Kanton Zürich, Amt für Landschaft und Natur — Landwirtschaftliche Kulturflächen, https://maps.zh.ch/wfs/OGDZHWFS" + + wfs_url = "https://maps.zh.ch/wfs/OGDZHWFS" + # One page per year (146k features, 64 MB of gzipped GML): the server has no maximum, and + # MapServer pages in a stable order only when sorted, which a single page does not need. GML is + # the server's own writer; its shapefile and GeoJSON writer fails now and then with a 400. + wfs_page_size = 1_000_000 + # the canton's names; the code is zero-padded and the area is in ares + source_columns = { + "gis_nr": "nutzungsidentifikator", + "blw_nr": "lnf_code", + "blw_name": "nutzung", + "flaeche": "flaeche_m2", + } + area_factor = 100 + + def get_wfs_params(self): + return {"typeNames": f"ms:ogd-0170_giszhpub_lw_nutzungsflaechen_{self.variant}_f"} diff --git a/fiboa_cli/registry.py b/fiboa_cli/registry.py index 76562bc8..5b61137e 100644 --- a/fiboa_cli/registry.py +++ b/fiboa_cli/registry.py @@ -22,7 +22,7 @@ class FiboaRegistry(VecorelRegistry): "determination:details", ] required_extensions = [re.compile(spec_pattern)] - ignored_datasets = VecorelRegistry.ignored_datasets + ["es_base.py"] + ignored_datasets = VecorelRegistry.ignored_datasets + ["es_base.py", "ch_base.py"] def register_commands(self): from .convert import ConvertData diff --git a/tests/data-files/convert/ch/lnf_code.csv b/tests/data-files/convert/ch/lnf_code.csv new file mode 100644 index 00000000..d2df8e9c --- /dev/null +++ b/tests/data-files/convert/ch/lnf_code.csv @@ -0,0 +1,175 @@ +original_code,original_name,translated_name,HCAT3_name,HCAT3_code +501,Sommergerste,Spring barley,spring_barley,3301010402 +502,Wintergerste,Winter barley,winter_barley,3301010401 +504,Hafer,Oats,oats,3301010500 +505,Triticale,Triticale,triticale,3301010800 +506,Mischel Futtergetreide,Mixed feed cereals,other_cereals,3301019900 +507,Futterweizen gemäss Sortenliste swiss granum,Feed wheat according to swiss granum list,common_soft_wheat,3301010100 +508,Körnermais,Grain maize,grain_maize_corn_popcorn,3301010600 +509,Reis,Rice,rice,3301010700 +510,Hartweizen,Durum wheat,durum_hard_wheat,3301010200 +511,"Emmer, Einkorn",Emmer einkorn,other_cereals,3301019900 +512,Sommerweizen (ohne Futterweizen der Sortenliste swiss granum),Spring wheat (excluding feed list),spring_common_soft_wheat,3301010102 +513,Winterweizen (ohne Futterweizen der Sortenliste swiss granum),Winter wheat (excluding feed list),winter_common_soft_wheat,3301010101 +514,Roggen,Rye,rye,3301010300 +515,Mischel Brotgetreide,Mixed bread cereals,other_cereals,3301019900 +516,Dinkel,Spelt,spelt,3301011000 +519,Saatmais (Vertragsanbau),Seed/grain maize (contract),grain_maize_corn_popcorn,3301010600 +520,Trockenreis,Dryland rice,rice,3301010700 +521,Silo- und Grünmais,Silage and green maize,green_silo_maize,3301090400 +522,Zuckerrüben,Sugar beet,sugar_beet,3301290700 +523,Futterrüben,Fodder beets,mangelwurzel_fodder_beet,3301290400 +524,Kartoffeln,Potatoes,potatoes,3301030000 +525,Pflanzkartoffeln (Vertragsanbau),Seed potatoes (contract),potatoes,3301030000 +526,Sommerraps zur Speiseölgewinnung,Spring rapeseed for edible oil,rapeseed_rape,3301060400 +527,Winterraps zur Speiseölgewinnung,Winter rapeseed for edible oil,rapeseed_rape,3301060400 +528,Soja,Soy,soy_soybeans,3301160000 +529,Nassreis,Wet rice,rice,3301010700 +531,Sonnenblumen zur Speiseölgewinnung,Sunflowers for edible oil,sunflower,3301060500 +534,Lein,Linseed (oil flax),flax_linseed_oil,3301060702 +535,Hanf,Hemp,hemp_cannabis,3301061000 +536,Bohnen und Wicken zur Körnergewinnung (z.B. Ackerbohnen),Beans and vetches for grain (e.g. field beans),beans,3301020100 +537,Erbsen zur Körnergewinnung (z.B. Eiweisserbsen),Peas for grain (e.g. protein peas),peas,3301020600 +538,Lupinen,Lupins,sweet_lupins,3301020700 +539,Ölkürbisse,Oil pumpkins,pumpkin_squash_gourd,3301140400 +540,Kichererbsen,Chickpeas,chickpeas,3301020200 +541,Tabak,Tobacco,tobacco,3301060100 +542,Hirse,Millet,millet_sorghum,3301010900 +543,Getreide siliert,Cereals for silage,plants_harvested_green,3301090000 +544,Leindotter,Camelina,camelina,3301061500 +545,"Einjährige Freilandgemüse, ohne Konservengemüse",Annual open-field vegetables (excl. canning),fresh_vegetables,3301070000 +546,Freiland-Konservengemüse,Open-field processing vegetables,fresh_vegetables,3301070000 +547,Wurzeln der Treibzichorie,Roots of forcing chicory,chicory_chicories,3301310200 +548,Buchweizen,Buckwheat,buckwheat,3301150200 +549,Sorghum,Sorghum,millet_sorghum,3301010900 +550,Übrige Ackerfläche,Other arable land,other_arable_land_crops,3301990000 +551,Einjährige Beeren (z.B. Erdbeeren),Annual berries (e.g. strawberries),strawberries,3301130000 +552,"Einjährige nachwachsende Rohstoffe (Kenaf, usw.)",Annual renewable resources (kenaf etc.),other_arable_land_crops,3301990000 +553,Einjährige Gewürz- und Medizinalpflanzen,Annual spice and medicinal plants,other_arable_land_crops,3301990000 +554,"Einjährige gärtnerische Freilandkulturen (Blumen, Rollrasen usw.)",Annual horticultural open-field crops (flowers turf etc.),flowers_ornamental_plants,3301080000 +555,Ackerschonstreifen,Conservation strips on arable land,not_known_and_other,3399000000 +556,Buntbrache,Colourful fallow,fallow_land_not_crop,3301110000 +557,Rotationsbrache,Rotational fallow,fallow_land_not_crop,3301110000 +559,Saum auf Ackerflächen,Field margin on arable land,not_known_and_other,3399000000 +566,Mohn,Poppy,poppy,3301060600 +567,Saflor,Safflower,safflower,3301083900 +568,Linsen,Lentils,lentils,3301020500 +569,"Mischungen von Bohnen, Wicken, Erbsen, Kichererbsen und Lupinen mit Getreide oder Leindotter, mindestens 30 % Anteil Leguminosen bei der Ernte (zur Körnergewinnung)",Mixtures of beans vetches peas chickpeas lupins with cereals or camelina (>=30% legumes) grain use,legumes_dried_pulses_protein_crops,3301020000 +570,"Mischungen von Linsen mit Getreide oder Leindotter, mindestens 30 % Anteil Linsen bei der Ernte (zur Körnergewinnung)",Mixtures of lentils with cereals or camelina (>=30% lentils at harvest) grain use,legumes_dried_pulses_protein_crops,3301020000 +572,Nützlingsstreifen auf offener Ackerfläche,Beneficial insect strips on arable land,not_known_and_other,3399000000 +573,Senf,Mustard,mustard,3301210100 +574,Quinoa,Quinoa,quinoa,3301150300 +575,Hanf zur Nutzung der Samen,Hemp for seed use,hemp_cannabis,3301061000 +576,Hanf zur Fasernutzung,Hemp for fibre use,hemp_cannabis,3301061000 +577,Anderer Hanf,Other hemp,hemp_cannabis,3301061000 +578,Hirse zur Körnergewinnung,Millet/sorghum for grain,millet_sorghum,3301010900 +579,Hirse zur Nutzung ganze Pflanze,Millet/sorghum for whole plant use,millet_sorghum,3301010900 +580,Sorghum zur Körnergewinnung,Sorghum for grain,millet_sorghum,3301010900 +581,Sorghum zur Nutzung ganze Pflanze,Sorghum for whole plant use,millet_sorghum,3301010900 +590,Sommerraps als nachwachsender Rohstoff,Spring rapeseed as renewable resource,rapeseed_rape,3301060400 +591,Winterraps als nachwachsender Rohstoff,Winter rapeseed as renewable resource,rapeseed_rape,3301060400 +592,Sonnenblumen als nachwachsender Rohstoff,Sunflowers as renewable resource,sunflower,3301060500 +594,"Offene Ackerfläche, beitragsberechtigt (regionsspezifische Biodiversitätsförderfläche)",Open arable land eligible (region-specific biodiversity area),not_known_and_other,3399000000 +595,"Übrige offene Ackerfläche, nicht beitragsberechtigt (regionsspezifische Biodiversitätsförderfläche)",Other open arable land not eligible (region-specific biodiversity area),not_known_and_other,3399000000 +597,"Übrige offene Ackerfläche, beitragsberechtigt",Other open arable land eligible,other_arable_land_crops,3301990000 +598,"Übrige offene Ackerfläche, nicht beitragsberechtigt",Other open arable land not eligible,other_arable_land_crops,3301990000 +601,Kunstwiesen (ohne Weiden),Artificial meadows (without pastures),temporary_grass,3301090100 +602,"Übrige Kunstwiese, beitragsberechtigt (z.B. Schweineweide, Geflügelweide)",Other artificial meadow eligible (e.g. pig poultry pasture),temporary_grass,3301090100 +611,Extensiv genutzte Wiesen (ohne Weiden),Extensively used meadows (without pastures),pasture_meadow_grassland_grass,3302000000 +612,Wenig intensiv genutzte Wiesen (ohne Weiden),Low-intensity meadows (without pastures),pasture_meadow_grassland_grass,3302000000 +613,Übrige Dauerwiesen (ohne Weiden),Other permanent meadows (without pastures),pasture_meadow_grassland_grass,3302000000 +616,"Weiden (Heimweiden, übrige Weiden ohne Sömmerungsweiden)",Pastures (home pastures others without summering pastures),pasture_meadow_grassland_grass,3302000000 +617,Extensiv genutzte Weiden,Extensively used pastures,pasture_meadow_grassland_grass,3302000000 +618,Waldweiden (ohne bewaldete Fläche),Forest pastures (without forested area),pasture_meadow_grassland_grass,3302000000 +621,"Heuwiesen im Sömmerungsgebiet, Übrige Wiesen",Hay meadows in summering area other meadows,pasture_meadow_grassland_grass,3302000000 +622,"Heuwiesen im Sömmerungsgebiet, Typ extensiv genutzte Wiese",Hay meadows in summering area type extensively used,pasture_meadow_grassland_grass,3302000000 +623,"Heuwiesen im Sömmerungsgebiet, Typ wenig intensiv genutzte Wiese",Hay meadows in summering area type low intensity,pasture_meadow_grassland_grass,3302000000 +625,Waldweiden (ohne bewaldete Fläche),Forest pastures (without forested area),pasture_meadow_grassland_grass,3302000000 +631,Futterleguminosen für die Samenproduktion (Vertragsanbau),Forage legumes for seed production (contract),legumes_dried_pulses_protein_crops,3301020000 +632,Futtergräser für die Samenproduktion (Vertragsanbau),Forage grasses for seed production (contract),temporary_grass,3301090100 +634,Uferwiesen entlang von Fliessgewässern (ohne Weiden),Riverside meadows along watercourses (without pastures),pasture_meadow_grassland_grass,3302000000 +635,Uferwiesen (ohne Weiden),Riverside meadows (without pastures),pasture_meadow_grassland_grass,3302000000 +650,"Übrige Dauerwiesen, beitragsberechtigt aggregiert","Other permanent meadows, eligible, aggregated",pasture_meadow_grassland_grass,3302000000 +660,"Übrige Dauerweiden, beitragsberechtigt aggregiert",Other permanent pastures eligible aggregated,pasture_meadow_grassland_grass,3302000000 +693,Regionsspezifische Biodiversitätsförderflächen (Weiden),Region-specific biodiversity areas (pastures),not_known_and_other,3399000000 +694,Regionsspezifische Biodiversitätsförderfläche (Grünflächen ohne Weiden),Region-specific biodiversity area (grasslands without pastures),not_known_and_other,3399000000 +697,"Übrige Grünfläche (Dauergrünfläche), beitragsberechtigt",Other grassland (permanent grassland) eligible,pasture_meadow_grassland_grass,3302000000 +698,"Übrige Grünfläche (Dauergrünflächen), nicht beitragsberechtigt",Other grassland (permanent) not eligible,pasture_meadow_grassland_grass,3302000000 +701,Reben,Vines/vineyards,vineyards_wine_vine_rebland_grapes,3303060000 +702,Obstanlagen (Äpfel),Orchards (apples),orchards_fruits,3303010000 +703,Obstanlagen (Birnen),Orchards (pears),orchards_fruits,3303010000 +704,Obstanlagen (Steinobst),Orchards (stone fruit),orchards_fruits,3303010000 +705,Mehrjährige Beeren,Perennial berries,berries_berry_species,3303020000 +706,Mehrjährige Gewürz- und Medizinalpflanzen,Perennial spice and medicinal plants,other_flowers_ornamental_plants,3301089900 +707,"Mehrjährige nachwachsende Rohstoffe (Chinaschilf, usw.)",Perennial renewable resources (miscanthus etc.),miscanthus_silvergrass,3301083000 +708,Hopfen,Hops,hops,3301060200 +709,Rhabarber,Rhubarb,rhubarb,3301230000 +710,Spargel,Asparagus,asparagus,3301200000 +711,Pilze (Freiland),Mushrooms (open field),not_known_and_other,3399000000 +712,Christbäume,Christmas trees,other_tree_wood_forest,3306990000 +713,Baumschule von Forstpflanzen ausserhalb der Forstzone,Nursery of forest plants outside forest zone,tree_wood_forest,3306000000 +714,"Ziersträucher, Ziergehölze und Zierstauden",Ornamental shrubs trees and perennials,flowers_ornamental_plants,3301080000 +715,"Übrige Baumschulen (Rosen, Früchte, usw.)","Other nurseries (roses, fruit, etc.)",flowers_ornamental_plants,3301080000 +717,Rebflächen mit natürlicher Artenvielfalt,Vineyards with natural biodiversity,vineyards_wine_vine_rebland_grapes,3303060000 +718,Trüffelanlagen,Truffle plantations,other_arable_land_crops,3301990000 +719,Maulbeerbaumanlagen (Fütterung Seidenraupen),Mulberry tree plantations (silkworm feeding),orchards_fruits,3303010000 +720,Gepflegte Selven (Edelkastanienbäume),Managed chestnut groves,orchards_fruits,3303010000 +721,Mehrjährige gärtnerische Freilandkulturen (nicht im Gewächshaus),Perennial horticultural open-field crops (not greenhouse),other_flowers_ornamental_plants,3301089900 +722,Baumschulen von Reben,Vine nurseries,nurseries_nursery,3303070000 +723,Baumschulen von Obst und Beeren,Nurseries of fruit and berries,orchards_fruits,3303010000 +724,"Übrige Baumschulen (Rosen, Zierstauden, usw.)",Other nurseries (roses ornamentals etc.),flowers_ornamental_plants,3301080000 +725,Permakultur,Permaculture,not_known_and_other,3399000000 +730,Obstanlagen aggregiert,Orchards aggregated,orchards_fruits,3303010000 +731,"Andere Obstanlagen (Kiwis, Holunder usw.)",Other orchards (kiwi elder etc.),orchards_fruits,3303010000 +735,Reben (regionsspezifische Biodiversitätsförderflächen),Vines (region-specific biodiversity promotion areas),vineyards_wine_vine_rebland_grapes,3303060000 +750,"Übrige Dauerkulturen, beitragsberechtigt, aggregiert","Other permanent crops, eligible, aggregated",orchards_fruits,3303010000 +760,"Dauerkulturen, nicht beitragsberechtigt, aggregiert","Permanent crops, not eligible, aggregated",orchards_fruits,3303010000 +797,"Übrige Flächen mit Dauerkulturen, beitragsberechtigt",Other perennial crop areas eligible,orchards_fruits,3303010000 +798,"Übrige Flächen mit Dauerkulturen, nicht beitragsberechtigt",Other perennial crop areas not eligible,orchards_fruits,3303010000 +801,Gemüsekulturen in Gewächshäusern mit festem Fundament,Vegetable crops in greenhouses with fixed foundation,fresh_vegetables,3301070000 +802,Übrige Spezialkulturen in Gewächshäusern mit festem Fundament,Other specialty crops in greenhouses with foundation,other_flowers_ornamental_plants,3301089900 +803,Gärtnerische Kulturen in Gewächshäusern mit festem Fundament,Horticultural crops in greenhouses with fixed foundation,fresh_vegetables,3301070000 +804,Beerenkulturen in Gewächshäusern mit festem Fundament,Berry crops in greenhouses with fixed foundation,berries_berry_species,3303020000 +806,Gemüsekulturen in geschütztem Anbau ohne festes Fundament,Vegetable crops in protected cultivation without fixed foundation,fresh_vegetables,3301070000 +807,Übrige Spezialkulturen in geschütztem Anbau ohne festes Fundament,Other specialty crops protected without foundation,other_flowers_ornamental_plants,3301089900 +808,Gärtnerische Kulturen in geschütztem Anbau ohne festes Fundament,Horticultural crops protected without fixed foundation,flowers_ornamental_plants,3301080000 +810,Pilze in geschütztem Anbau mit festem Fundament,Mushrooms in protected cultivation with foundation,not_known_and_other,3399000000 +811,Gemüsekulturen in geschütztem Anbau ohne festes Fundament; im gewachsenen Boden,Vegetables protected without foundation in soil,fresh_vegetables,3301070000 +812,Gemüsekulturen in geschütztem Anbau ohne festes Fundament; auf Pflanztischen oder -gestellen,Vegetable crops protected without foundation on benches,fresh_vegetables,3301070000 +813,Beerenkulturen in geschütztem Anbau ohne festes Fundament; im gewachsenen Boden,Berry crops protected without foundation in soil,berries_berry_species,3303020000 +814,Beerenkulturen in geschütztem Anbau ohne festes Fundament; auf Pflanztischen oder -gestellen,Berry crops protected without fixed foundation on tables,berries_berry_species,3303020000 +830,"Kulturen in ganzjährig geschütztem Anbau, beitragsberechtigt aggregiert",Crops in year-round protected cultivation eligible aggregated,other_flowers_ornamental_plants,3301089900 +840,"Kulturen in ganzjährig geschütztem Anbau, nicht beitragsberechtigt aggregiert","Crops in year-round protected cultivation, not eligible, aggregated",other_flowers_ornamental_plants,3301089900 +847,"Übrige Kulturen in geschütztem Anbau ohne festes Fundament, beitragsberechtigt",Other protected crops without foundation eligible,other_flowers_ornamental_plants,3301089900 +848,Übrige Kulturen in geschütztem Anbau mit festem Fundament,Other crops in protected cultivation with foundation,other_flowers_ornamental_plants,3301089900 +849,"Übrige Kulturen in geschütztem Anbau ohne festes Fundament, nicht beitragsberechtigt",Other protected crops without foundation not eligible,other_flowers_ornamental_plants,3301089900 +851,Streueflächen in der landwirtschaftlichen Nutzfläche,Litter meadows in utilized agri area,pasture_meadow_grassland_grass,3302000000 +852,"Hecken-, Feld- und Ufergehölze (mit Krautsaum)",Hedges field and riparian shrubs (with herb strip),shrubberries_shrubs,3303080000 +857,"Hecken-, Feld- und Ufergehölze (mit Pufferstreifen)",Hedges field and riparian shrubs (with buffer strips),shrubberries_shrubs,3303080000 +858,"Hecken-, Feld- und Ufergehölze (mit Pufferstreifen) (regionsspezifische Biodiversitätsförderfläche)",Hedges field and riparian shrubs (with buffers) region-specific biodiversity,shrubberries_shrubs,3303080000 +897,"Übrige Flächen innerhalb der landwirtschaftlichen Nutzfläche, beitragsberechtigt",Other areas within utilized agri area eligible,not_known_and_other,3399000000 +898,"Übrige Flächen innerhalb der landwirtschaftlichen Nutzfläche, nicht beitragsberechtigt",Other areas within utilized agri area not eligible,not_known_and_other,3399000000 +901,Wald,Forest,tree_wood_forest,3306000000 +902,"Übrige unproduktive Flächen (z.B. gemulchte Flächen, stark verunkrautete Flächen, Hecken ohne Pufferstreifen)","Other unproductive areas (e.g. mulched, weedy, hedges without buffers)",not_known_and_other,3399000000 +903,"Flächen ohne landwirtschaftliche Hauptzweckbestimmung (erschlossenes Bauland, Spiel-, Reit-, Camping-, Golf-, Flug- und Militärplätze oder ausgemarchte Bereiche von Eisenbahnen, öffentlichen Strassen und Gewässern)",Areas without agricultural main purpose (built land etc.),not_known_and_other,3399000000 +904,"Wassergräben, Tümpel, Teiche",Ditches ponds pools,not_known_and_other,3399000000 +905,"Ruderalflächen, Steinhaufen und -wälle",Ruderal areas stone piles and walls,not_known_and_other,3399000000 +906,Trockenmauern,Dry stone walls,not_known_and_other,3399000000 +907,"Unbefestigte, natürliche Wege",Unpaved natural tracks,not_known_and_other,3399000000 +908,Regionsspezifische Biodiversitätsförderflächen,Region-specific biodiversity areas,not_known_and_other,3399000000 +909,Hausgärten,Home gardens,not_known_and_other,3399000000 +911,"Landwirtschaftliche Produktion in Gebäuden (z. B. Champignon, Brüsseler)",Agricultural production in buildings (e.g. mushrooms Belgian endive),not_known_and_other,3399000000 +921,Hochstamm-Feldobstbäume (Punkte oder Flächen),High-stem field fruit trees (points or areas),orchards_fruits,3303010000 +922,Nussbäume (Punkte oder Flächen),Nut trees (points or areas),orchards_fruits,3303010000 +923,Edelkastanienbäume,Sweet chestnut trees,orchards_fruits,3303010000 +924,Einheimische standortgerechte Einzelbäume und Alleen (Punkte oder Flächen),Native site-appropriate single trees and avenues (points or areas),shrubberries_shrubs,3303080000 +926,Andere Bäume,Other trees,not_known_and_other,3399000000 +927,Andere Bäume (regionsspezifische Biodiversitätsförderfläche),Other trees (region-specific biodiversity area),not_known_and_other,3399000000 +928,Andere Elemente (regionsspezifische Biodiversitätsförderfläche),Other elements (region-specific biodiversity area),not_known_and_other,3399000000 +930,Sömmerungsweiden,Summer pastures,pasture_meadow_grassland_grass,3302000000 +933,Gemeinschaftsweiden,Common pastures,pasture_meadow_grassland_grass,3302000000 +935,Heuwiesen mit Zufütterung während der Sömmerung,Hay meadows with supplementary feeding during summering,pasture_meadow_grassland_grass,3302000000 +936,Streueflächen im Sömmerungsgebiet,Litter meadows in summering area,pasture_meadow_grassland_grass,3302000000 +950,Ackerschonstreifen,Conservation strips on arable land,not_known_and_other,3399000000 +951,Getreide in weiter Reihe,Cereals in wide rows,other_cereals,3301019900 +998,Übrige Flächen ausserhalb der landwirtschaftlichen Nutzfläche und Sömmerungsfläche,Other areas outside utilized land and special areas,not_known_and_other,3399000000 diff --git a/tests/data-files/convert/ch/lwb_nutzungsflaechen_v2_0_lv95.gpkg b/tests/data-files/convert/ch/lwb_nutzungsflaechen_v2_0_lv95.gpkg deleted file mode 100644 index e3dd62df..00000000 Binary files a/tests/data-files/convert/ch/lwb_nutzungsflaechen_v2_0_lv95.gpkg and /dev/null differ diff --git a/tests/data-files/convert/ch_ai/lwb_nutzungsflaechen_v3_0_AI_2056.gpkg b/tests/data-files/convert/ch_ai/lwb_nutzungsflaechen_v3_0_AI_2056.gpkg new file mode 100644 index 00000000..2edc9b46 Binary files /dev/null and b/tests/data-files/convert/ch_ai/lwb_nutzungsflaechen_v3_0_AI_2056.gpkg differ diff --git a/tests/data-files/convert/ch_ge/AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip b/tests/data-files/convert/ch_ge/AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip new file mode 100644 index 00000000..be2266d5 Binary files /dev/null and b/tests/data-files/convert/ch_ge/AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip differ diff --git a/tests/data-files/convert/ch_sz/ch_sz_2024.gml b/tests/data-files/convert/ch_sz/ch_sz_2024.gml new file mode 100644 index 00000000..46d857f1 --- /dev/null +++ b/tests/data-files/convert/ch_sz/ch_sz_2024.gml @@ -0,0 +1,1010 @@ + + + 2683234.974 1200416.7952704317.313 1219484.722 + + + + 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2685465.368 1209700.666 2685465.627 1209696.627 2685465.092 1209692.574 2685464.387 1209687.138 2685463.944 1209684.809 2685463.652 1209682.385 2685463.416 1209702.523 2685456.892 1209721.882 + 58544 + 0613 + Übrige Dauerwiesen (ohne Weiden) + 1 + + + + + 2685481.183 1209446.0942685545.939 1209529.312 + 2685481.183 1209469.702 2685489.76 1209477.851 2685486.758 1209492.003 2685485.9 1209496.291 2685483.756 1209505.297 2685485.472 1209521.164 2685488.473 1209525.453 2685494.477 1209529.312 2685498.22 1209526.515 2685526.825 1209511.047 2685537.531 1209495.901 2685537.648 1209493.111 2685537.034 1209493.387 2685545.939 1209484.712 2685533.931 1209489.001 2685521.495 1209451.262 2685513.234 1209446.094 2685496.193 1209449.547 2685497.479 1209458.552 2685481.183 1209469.702 + 60332 + 0851 + Streueflächen in der LN + 30 + + + + + 2685484.875 1209495.9012685538.318 1209571.207 + 2685486.758 1209555.043 2685485.307 1209555.227 2685484.875 1209556.6 2685486.155 1209561.288 2685487.884 1209565.907 2685507.978 1209571.207 2685525.116 1209570.831 2685538.318 1209566.102 2685537.531 1209495.901 2685526.825 1209511.047 2685498.22 1209526.515 2685494.477 1209529.312 2685491.904 1209534.887 2685490.189 1209543.036 2685486.758 1209555.043 + 60330 + 0611 + Extensiv genutzte Wiesen (ohne Weiden) + 26 + + + + + 2685648.525 1209426.6032685725.183 1209802.284 + 2685676.369 1209434.553 2685660.871 1209447.402 2685654.985 1209443.99 2685651.763 1209450.193 2685648.525 1209462.56 2685699.882 1209467.489 2685698.299 1209478.26 2685689.227 1209553.307 2685699.909 1209634.742 2685694.236 1209665.113 2685697.241 1209695.484 2685712.26 1209712.172 2685717.602 1209802.284 2685725.183 1209802.06 2685724.987 1209799.74 2685724.186 1209794.512 2685724.344 1209788.62 2685724.782 1209785.5 2685720.74 1209720.926 2685718.509 1209703.043 2685710.751 1209699.245 2685705.602 1209694.466 2685704.08 1209687.29 2685702.974 1209675.156 2685703.239 1209665.124 2685703.802 1209654.324 2685707.38 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2696872.285 1213132.333 2696873.843 1213129.051 2696875.111 1213125.647 2696875.128 1213125.585 2696866.79 1213117.36 2696855.016 1213110.216 2696848.401 1213104.792 2696841.522 1213095.796 2696835.436 1213086.668 2696832.79 1213076.085 2696830.012 1213066.692 2696824.985 1213057.035 2696820.487 1213045.79 2696814.402 1213037.191 2696813.181 1213035.108 2696804.593 1213037.301 2696797.625 1213002.257 2696760.506 1213011.652 2696759.952 1213011.851 2696763.675 1213021.318 2696768.658 1213033.58 2696774.442 1213047.254 2696783.262 1213066.492 2696792.483 1213086.313 2696799.019 1213099.259 2696805.388 1213112.367 2696810.341 1213121.501 2696817.061 1213133.216 2696821.063 1213140.2542696867.499 1213135.865 2696862.558 1213131.313 2696866.049 1213127.524 2696869.62 1213130.866 2696867.909 1213132.784 2696868.805 1213134.31 2696867.499 1213135.865 + 37651 + 0613 + Übrige Dauerwiesen (ohne Weiden) + 69 + + + + + 2696829.746 1213019.0392696878.489 1213116.254 + 2696876.101 1213019.039 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1213181.349 2696934.705 1213184.961 2696934.898 1213187.175 2696934.339 1213189.432 2696933.135 1213191.41 2696931.695 1213191.238 + 71978 + 0613 + Übrige Dauerwiesen (ohne Weiden) + 156 + + + + + 2696650.724 1211942.4022696725.105 1211994.732 + 2696685.398 1211942.458 2696678.956 1211942.559 2696658.6 1211943.004 2696658.424 1211947.459 2696658.424 1211951.198 2696661.707 1211955.484 2696667.179 1211956.031 2696671.739 1211958.95 2696673.017 1211964.969 2696671.011 1211969.711 2696665.174 1211974.271 2696656.601 1211979.743 2696653.227 1211985.124 2696651.403 1211989.046 2696650.724 1211994.732 2696658.038 1211989.613 2696667.789 1211987.662 2696673.883 1211989.613 2696684.853 1211982.543 2696699.647 1211971.535 2696710.218 1211970.858 2696722.982 1211964.646 2696725.105 1211954.992 2696724.791 1211949.328 2696723.832 1211948.741 2696721.238 1211942.981 2696688.928 1211942.402 2696685.398 1211942.458 + 67231 + 0902 + Übrige unproduktive Flächen (z.B. gemulchte Flächen, stark 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def _input_files(converter, *names): # the older layers publish no land cover class and no declared area "de_he#2023": {"variant": "2023", **_input_files("de_he", "de_he_2023.json")}, "br_ba_lem": _input_files("br_ba_lem", "LEM_dataset.zip"), - "ch": _input_files("ch", "lwb_nutzungsflaechen_v2_0_lv95.gpkg"), + "ch_ai": { + **_input_files("ch_ai", "lwb_nutzungsflaechen_v3_0_AI_2056.gpkg"), + "mapping_file": f"{test_path}/ch/lnf_code.csv", + }, + # one file holds every year; the two editions must each keep only their year + "ch_ge": { + "variant": "2025", + **_input_files("ch_ge", "AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip"), + "mapping_file": f"{test_path}/ch/lnf_code.csv", + }, + "ch_ge#2024": { + "variant": "2024", + **_input_files("ch_ge", "AGR_SURFACE_AGRICOLE_RECENSEE-SHP.zip"), + "mapping_file": f"{test_path}/ch/lnf_code.csv", + }, + # the canton's own WFS layer (GML) and its geodienste.ch file + "ch_sz": { + "variant": "2024", + **_input_files("ch_sz", "ch_sz_2024.gml"), + "mapping_file": f"{test_path}/ch/lnf_code.csv", + }, + "ch_sz#2025": { + "variant": "2025", + **_input_files("ch_sz", "lwb_nutzungsflaechen_v3_0_SZ_2056.gpkg"), + "mapping_file": f"{test_path}/ch/lnf_code.csv", + }, + "ch_zh": { + "variant": "2025", + **_input_files("ch_zh", "ch_zh_2025.gml"), + "mapping_file": f"{test_path}/ch/lnf_code.csv", + }, "es_cl": { "variant": "2025", "input_files": {f"{test_path}/es_cl/AVILA.zip": ["replaceme.zip"]}, @@ -205,6 +240,13 @@ def _input_files(converter, *names): # # Keyed like extra_convert_parameters, so "#