Settlement Site, Situation, and Settlement Patterns

A settlement’s site is the actual piece of land it is built on, its situation is its location in relation to the surrounding area, and its pattern describes the shape of the layout, which can be dispersed, nucleated (clustered) or linear. In brief: early settlers chose sites with a water supply, flat and dry land, building materials, fuel, fertile soil and defense. The situation shows why a place grew: a bridging point on a river or a meeting point of routes. The nearest neighbor index (Rn) measures whether settlements are clustered (close to 0), random (about 1) or regularly spaced (up to about 2.15).

Understanding why settlements are where they are and how they are arranged is a starting point for urban and rural geography. This guide explains site and situation, the factors that influenced early settlement, the three settlement patterns, compares them in a table, works through the nearest neighbor calculation, outlines the history of settlement and corrects common mistakes.

What is a settlement site?

The site is the exact ground a settlement occupies, and the choice of site depended on practical needs. The main site factors are:

What is a settlement situation?

The situation is the position of the settlement relative to other places, routes and resources, and it often explains why a settlement grew into a town. A bridging point is where a river could be crossed first, as with London. A route center lies where roads or railways meet. A gap town grows in a pass through hills. A port develops at a natural harbor or river mouth, and a market town serves a farming area. The situation can matter more than the site for modern growth: a place with good transport links and access to markets can expand even if its original site was poor. The original reasons for a site may become less important as technology changes, for example when defense is no longer needed.

What are the settlement patterns?

Dispersed pattern

Buildings, mostly isolated farms, are spread out over a wide area with large gaps between them. This is common in upland, sparsely populated and pastoral areas, such as the Scottish Highlands or the American Midwest, where each farm needs a large area of land.

Nucleated pattern

Buildings are clustered closely around a central point, such as a church, a crossroads, a green or a water source. This pattern is typical of villages in lowland farming areas of Europe, and it gave safety, shared services and social life.

Linear pattern

Buildings are arranged in a line, following a road, a river, a coast or a valley floor. This occurs along transport routes or where flat land is narrow, such as in a river valley or on a dike or raised levee.

Other patterns are the grid or planned layout, found in many North American cities, and the radial layout, with roads leading from a center.

Three schematic settlement patterns: dispersed, nucleated and linear Dispersed Nucleated Linear scattered clustered along a road Settlement patterns (schematic, dots = buildings)
Schematic layouts, not real places. In a dispersed pattern the buildings are spread out with large gaps, in a nucleated pattern they cluster around a central point, and in a linear pattern they line up along a road, river or valley floor (the line in the third box is a road).

Settlement patterns compared

Settlement patterns
Pattern Shape Typical cause Example setting
DispersedScattered buildingsLarge farms, poor landUplands, prairies
NucleatedClustered around a centerDefense, shared water, communityLowland villages
LinearLine of buildingsRoad, river, valley, coastValley and roadside villages

Worked example: nearest neighbor index

The nearest neighbor index (Rn) compares the observed spacing of settlements with the spacing expected if they were randomly placed. The formula is Rn = 2 × d̄ × √(n ÷ A), where d̄ is the mean distance to the nearest neighbor, n is the number of settlements and A is the area.

  1. Data: a study area of 100 km2 contains 10 settlements. The mean distance from each settlement to its nearest neighbor is 2.4 km.
  2. Density term: n ÷ A = 10 ÷ 100 = 0.1, and its square root is 0.316.
  3. Index: Rn = 2 × 2.4 × 0.316 = 1.52.
  4. Interpretation: a value of 0 means complete clustering, 1 means a random pattern and 2.15 means perfectly regular spacing. A result of 1.52 lies between random and regular, so the settlements are fairly evenly spaced.
  5. A clustered case: if the mean distance were 0.8 km, Rn = 2 × 0.8 × 0.316 = 0.51, which is closer to 0, showing a clustered pattern.
  6. Density: 10 settlements in 100 km2 is 0.1 per km2, or one settlement per 10 km2.

How did settlements develop?

The first permanent settlements appeared with farming after about 10,000 BCE in places such as the Fertile Crescent, and these early villages were sited by water and fertile land. Roman towns were planned on grids along roads, and many modern European cities (London, Cologne, Vienna) began as Roman forts or trading posts. In the Middle Ages, villages formed around castles, churches and markets, and defensive sites such as hilltops were common. The industrial period shifted growth toward coalfields, ports and railway junctions. Today, the site matters less because of technology, and situation, transport links and economic factors are more important in explaining growth.

Which mistakes are common?

Mistake 1: Mixing up site and situation

Site is the actual ground the settlement stands on. Situation is where it lies in relation to other places and routes.

Mistake 2: Thinking that all old settlements chose the same factors

The importance of water, defense, dry land or resources varied from place to place and from period to period.

Mistake 3: Reading an Rn of 1 as clustering

A value near 1 means a random pattern. Clustered patterns have values near 0, and regular patterns have high values.

Mistake 4: Assuming that a settlement pattern is permanent

Growth, new roads and planning can change the pattern, for example when a linear village grows into a nucleated town.