RO. Catalog cloud-native cu date selectate din geoportalul național geodata.gov.md. Româna este limba de referință. Textele în rusă și engleză sunt traduceri. Catalogul nu este o publicație oficială a AGCC.
RU. Облачный каталог избранных данных национального геопортала geodata.gov.md. Румынский текст является основным; русский и английский тексты — переводы. Каталог не является официальной публикацией AGCC.
EN. A cloud-native catalog of selected data from Moldova’s national geoportal, geodata.gov.md. Romanian is authoritative; Russian and English are translations. This is not an official AGCC publication.
RO. Specii de bază, 2025. Conține 89 635 poligoane extrase din spațiul de
lucru moldsilva al serverului geodata.gov.md prin WFS 2.0.0 la data de
2026-08-16. Coordonatele sunt păstrate în sistemul sursă MOLDREF99 / Moldova
TM (EPSG:4026).
RU. Основные породы, 2025. Содержит 89 635 полигонов, извлечённых из
рабочего пространства moldsilva сервера geodata.gov.md через WFS 2.0.0 от
2026-08-16. Координаты сохранены в исходной системе MOLDREF99 / Moldova TM
(EPSG:4026).
EN. Principal tree species, 2025. Holds 89 635 polygons extracted from the
moldsilva workspace of geodata.gov.md over WFS 2.0.0 on 2026-08-16.
Coordinates are kept in the source system, MOLDREF99 / Moldova TM (EPSG:4026).
89,635 features extracted from moldsilva:specii_de _baza2025 on the geodata.gov.md GeoServer over
WFS 2.0.0 on 2026-08-16, and verified against the server's own feature count.
Coordinates are MOLDREF99 / Moldova TM (EPSG:4026): projected, in metres, and
the source's own system. They are not reprojected. ST_Area returns square metres
directly, and a spatial predicate written against a WGS84 envelope will match
nothing without raising an error.
consistent, 18 distinct values, most common first:
clp, 6 distinct values, most common first:
eroziunea, 9 distinct values, most common first:
flora, 25 distinct values, most common first:
resultType=hits exactly, so nothing was
lost to a capped WFS response.proprietat carry one value throughout, so they cannot discriminate.Row count:
Distribution of consistent:
Rows carrying geometry. Some layers hold null geometries, so filter before a spatial predicate:
This file is Hilbert-ordered and carries a bbox struct with GeoParquet 1.1
covering metadata. That combination makes row groups spatially coherent, so a
bounding-box predicate lets the reader skip most of the file unread.
DuckDB does not apply it for you. Writing it yourself is worth 3-7x on a spatial query, measured on this catalog:
Coordinates are metres, so those bounds are a 10 km box.
cadastru_data_uat2 holds the 35 second-level administrative units and is the join
target for anything aggregated by raion or municipality. Both sides are EPSG:4026,
so a spatial join needs no transform. Prefilter on each raion's bounds so the
expensive predicate runs on a fraction of the rows:
The catalog's own AGENTS.md covers the join keys and the quirks that apply across every collection here.
eroziunea | VARCHAR | 9 distinct values |
flora | BIGINT | 25 distinct values |
tst | BIGINT | 46 distinct values |
tp | BIGINT | 75 distinct values |
litiera | BIGINT | 7 distinct values |
proprietat | VARCHAR | A single value throughout: Moldsilva |
up | VARCHAR | 83 distinct values |
data | VARCHAR | 11 distinct values |
denumirea | VARCHAR | 57 distinct values |
geometry | GEOMETRY('EPSG:4026') | EPSG:4026, projected, metres |
bbox | STRUCT(xmin DOUBLE, ymin DOUBLE, xmax DOUBLE, ymax DOUBLE) | Bounding box struct written by the extractor for spatial pruning |