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Visibility: Public
Owner: Nissim Lebovits
Created: 17 Aug 2026
Last Updated: 17 Aug 2026

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25 Aug 2026

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Moldova Geodata

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.

Name: AGENTS.md
Size: 5.58 KB
Content Type: text/markdown; charset=utf-8
Last Modified: 17 Aug 2026
Source URL: https://data.source.coop/nlebovits/moldova-geodata/cadastru/delimitarea2003/AGENTS.md
Cloud URI: s3://us-west-2.opendata.source.coop/nlebovits/moldova-geodata/cadastru/delimitarea2003/AGENTS.md

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AGENTS.md — Delimitarea (anul 2003)

Despre date / О данных / About the data

RO. Delimitarea (anul 2003). Conține 62 665 poligoane extrase din spațiul de lucru cadastru_data 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. Разграничение (2003 год). Содержит 62 665 полигонов, извлечённых из рабочего пространства cadastru_data сервера geodata.gov.md через WFS 2.0.0 от 2026-08-16. Координаты сохранены в исходной системе MOLDREF99 / Moldova TM (EPSG:4026).

EN. Delimitation (2003). Holds 62 665 polygons extracted from the cadastru_data 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).

Overview

62,665 features extracted from cadastru_data:delimitarea2003 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.

Access

Schema

Column	Type	Notes
`id`	BIGINT	62,665 distinct values
`fid`	BIGINT	62,665 distinct values
`codcadastr`	VARCHAR	Empty in every row. The source publishes the column and no values
`codtip_name`	VARCHAR	2 distinct values
`nrtitul`	VARCHAR	1,252 distinct values
`codtip`	BIGINT	2 distinct values
`suprafata`	DOUBLE	47,827 distinct values
`type_style`	BIGINT	2 distinct values. The source publishes no code list, so the meaning is unknown
`geometry`	GEOMETRY('EPSG:4026')	EPSG:4026, projected, metres

Measured distributions

codtip_name, 2 distinct values, most common first:

Value	Rows
`Proprietatea Autorităţii Publice Locale`	45,456
`Proprietatea Autorităţii Publice Centrale`	17,209

codtip, 2 distinct values, most common first:

Value	Rows
`25`	45,456
`20`	17,209

type_style, 2 distinct values, most common first:

Value	Rows
`2`	45,456
`1`	17,209

Data quality

Feature count matches the server's resultType=hits exactly, so nothing was lost to a capped WFS response.
codcadastr are empty in every row. The source publishes the columns and no values, so treat them as absent.
type_style carry codes the source never defines. They are preserved verbatim without interpretation.
The upstream server answers from several backends that disagree about which layers exist. See the catalog's known-issues page.

Example queries

Row count:

Distribution of codtip_name:

Rows carrying geometry. Some layers hold null geometries, so filter before a spatial predicate:

Spatial filtering

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.

AGENTS.md — Delimitarea (anul 2003)

Despre date / О данных / About the data

Overview

62,665 features extracted from cadastru_data:delimitarea2003 on the geodata.gov.md GeoServer over WFS 2.0.0 on 2026-08-16, and verified against the server's own feature count.

Access

Schema

Column	Type	Notes
`id`	BIGINT	62,665 distinct values
`fid`	BIGINT	62,665 distinct values
`codcadastr`	VARCHAR	Empty in every row. The source publishes the column and no values
`codtip_name`	VARCHAR	2 distinct values
`nrtitul`	VARCHAR	1,252 distinct values
`codtip`	BIGINT	2 distinct values
`suprafata`	DOUBLE	47,827 distinct values
`type_style`	BIGINT	2 distinct values. The source publishes no code list, so the meaning is unknown
`geometry`	GEOMETRY('EPSG:4026')	EPSG:4026, projected, metres

Measured distributions

codtip_name, 2 distinct values, most common first:

Value	Rows
`Proprietatea Autorităţii Publice Locale`	45,456
`Proprietatea Autorităţii Publice Centrale`	17,209

codtip, 2 distinct values, most common first:

Value	Rows
`25`	45,456
`20`	17,209

type_style, 2 distinct values, most common first:

Value	Rows
`2`	45,456
`1`	17,209

Data quality

Feature count matches the server's resultType=hits exactly, so nothing was lost to a capped WFS response.
codcadastr are empty in every row. The source publishes the columns and no values, so treat them as absent.
type_style carry codes the source never defines. They are preserved verbatim without interpretation.
The upstream server answers from several backends that disagree about which layers exist. See the catalog's known-issues page.

Example queries

Row count:

Distribution of codtip_name:

Rows carrying geometry. Some layers hold null geometries, so filter before a spatial predicate:

Spatial filtering

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.

The catalog's own AGENTS.md covers the join keys and the quirks that apply across every collection here.

1INSTALL spatial; LOAD spatial; INSTALL httpfs; LOAD httpfs;
2
3SELECT *
4FROM read_parquet('https://data.source.coop/nlebovits/moldova-geodata/cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
5LIMIT 10;

1INSTALL spatial; LOAD spatial; INSTALL httpfs; LOAD httpfs;
2
3SELECT *
4FROM read_parquet('https://data.source.coop/nlebovits/moldova-geodata/cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
5LIMIT 10;

1SELECT count(*) FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet');

1SELECT count(*) FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet');

1SELECT "codtip_name", count(*) AS n
2FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
3GROUP BY 1 ORDER BY n DESC;

1SELECT "codtip_name", count(*) AS n
2FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
3GROUP BY 1 ORDER BY n DESC;

1INSTALL spatial; LOAD spatial;
2
3SELECT count(*)
4FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
5WHERE geometry IS NOT NULL;

1INSTALL spatial; LOAD spatial;
2
3SELECT count(*)
4FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
5WHERE geometry IS NOT NULL;

1INSTALL spatial; LOAD spatial;
2
3-- bbox first, then the exact test on what survives
4SELECT count(*)
5FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
6WHERE bbox.xmin >= 200000 AND bbox.xmax <= 210000
7  AND bbox.ymin >= 180000 AND bbox.ymax <= 190000
8  AND ST_Within(geometry, ST_MakeEnvelope(200000, 180000, 210000, 190000));

1INSTALL spatial; LOAD spatial;
2
3-- bbox first, then the exact test on what survives
4SELECT count(*)
5FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet')
6WHERE bbox.xmin >= 200000 AND bbox.xmax <= 210000
7  AND bbox.ymin >= 180000 AND bbox.ymax <= 190000
8  AND ST_Within(geometry, ST_MakeEnvelope(200000, 180000, 210000, 190000));

1INSTALL spatial; LOAD spatial;
2
3WITH units AS (
4  SELECT name, geometry,
5         ST_XMin(geometry) x0, ST_YMin(geometry) y0,
6         ST_XMax(geometry) x1, ST_YMax(geometry) y1
7  FROM read_parquet('cadastru/uat2/cadastru_data_uat2.parquet')
8)
9SELECT u.name, count(*) AS n
10FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet') x
11JOIN units u
12  ON x.bbox.xmin BETWEEN u.x0 AND u.x1
13 AND x.bbox.ymin BETWEEN u.y0 AND u.y1
14 AND ST_Within(ST_Centroid(x.geometry), u.geometry)
15GROUP BY u.name
16ORDER BY n DESC;

1INSTALL spatial; LOAD spatial;
2
3WITH units AS (
4  SELECT name, geometry,
5         ST_XMin(geometry) x0, ST_YMin(geometry) y0,
6         ST_XMax(geometry) x1, ST_YMax(geometry) y1
7  FROM read_parquet('cadastru/uat2/cadastru_data_uat2.parquet')
8)
9SELECT u.name, count(*) AS n
10FROM read_parquet('cadastru/delimitarea2003/cadastru_data_delimitarea2003.parquet') x
11JOIN units u
12  ON x.bbox.xmin BETWEEN u.x0 AND u.x1
13 AND x.bbox.ymin BETWEEN u.y0 AND u.y1
14 AND ST_Within(ST_Centroid(x.geometry), u.geometry)
15GROUP BY u.name
16ORDER BY n DESC;

Moldova Geodata

AGENTS.md — Delimitarea (anul 2003)

Despre date / О данных / About the data

Overview

Access

Schema

Measured distributions

Data quality

Example queries

Spatial filtering

Related collections

AGENTS.md — Delimitarea (anul 2003)

Despre date / О данных / About the data

Overview

Access

Schema

Measured distributions

Data quality

Example queries

Spatial filtering

Related collections