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Polissia data graph

All places, routes, lakes, rivers and towns of the guide, linked to each other: what is nearby, which community and district it belongs to, which fish live there, which route passes by. A program builds the graph from the site data on its own, with no manual work.

The graph today

1,626nodes
7,263links

What the graph contains

  • Guide places 713
  • Routes 73
  • Place types 62
  • Activities 14
  • Fish species 16
  • Mushrooms and berries 14
  • Communities (hromadas) 204
  • Districts 36
  • Regions (oblasts) 9
  • Towns 189

Types of links

  • Nearby, up to 5 km 1,379
  • Location 1,204
  • Place type 1,066
  • Type in group 54
  • Things to do 1,717
  • Fish in the water 638
  • Mushrooms and berries 87
  • River flows through a town 57
  • Route past a place 158
  • Nearest town 507
  • Article about a town 100

Updated 14/11/2026, 00:14.

What a graph is, in plain words

Imagine a large map where every place, route, community, town or fish species is a small circle, with threads stretched between the circles. A circle is a node, a thread is a link.

Each link reads like a short sentence of three parts: who, what, with whom. For example:

The graph is made of thousands of such sentences. Following the threads from one circle, you can find everything connected to it.

What the graph knows about Shatsk Lakes

Shatsk Lakes — Shatska settlement community, Kovelskyy district, Volynska Oblast. Links in total: 26.

2 What it is

1 Where it is

  • Shatska settlement community

11 Fish species

  • Amur carp
  • Crucian carp
  • Carp
  • Rudd
  • Tench
  • Bream
  • Perch
  • Roach
  • Catfish
  • Zander
  • and 1 more

1 Mushrooms and berries

  • Chornytsia

1 Nearest town

  • Shatsk 5.7 km

Why it is useful

  • What else to see nearby. Every place lists its neighbours within 5 km that you can visit the same day.
  • A route with stops. For every trail you can see which guide places it passes by.
  • Where exactly it is. The community, district and region are determined from coordinates.
  • How to get there. For a place — the nearest town, for a town — its bus and railway stations.
  • Fish, mushrooms, activities. From a fish species to the waters where it lives; from an activity to the places where you can do it.

Where the data comes from

  • Places, waters, types, activities and fish species come from guide articles checked by the editors.
  • “Nearby” and “nearest town” are distances calculated from coordinates.
  • Communities, districts and regions use OpenStreetMap boundaries with a “point inside the boundary” check.
  • “A route passes by” comes from the route’s GPS track.

What the graph does not do

  • It does not invent links and does not use artificial intelligence — only article fields, coordinates, boundaries and tracks.
  • It does not rate or rank: neighbours are ordered by distance.
  • It does not measure roads: distance is in a straight line.
  • It does not include advertising or sponsored articles.

Frequently asked questions

How often is the graph updated?

The program checks the site data every hour: if a new place or route appears or coordinates change, the graph is rebuilt. Even without changes it is rebuilt once a day.

Why is a place missing from the graph?

The graph includes only published guide places. For a place to have neighbours, a nearest town and a community, the article needs coordinates. In this language the graph shows only articles that have a translation.

What does “nearby” mean?

Two places are neighbours if they are no more than 5 km apart in a straight line. By road it may be longer — check the route on a map before you go.

How does the graph know which fish live in a lake?

From the article about the lake itself: the editors list the fish species, and the graph only connects the lake with them. It adds nothing on its own.

How are the community and district determined?

From the coordinates of the place and the boundaries of communities, districts and regions from OpenStreetMap. Right next to a boundary a place may occasionally fall into the neighbouring district.

Is there advertising in the graph?

No. Advertising and sponsored articles are not included in the graph.