Government policies are not a primary factor influencing the location of economic activity, as they are typically applied uniformly across regions and do not directly affect the costs or benefits of locating in a particular area.

Von Thunen's model suggests that the intensity of land use decreases with distance from the market, as transportation costs increase and the value of agricultural products declines.

Footloose industries are those that are not tied to a specific location and can operate anywhere, such as many service industries.

The spatial distribution of economic activity is influenced by a combination of natural resources, transportation networks, and government policies.

Agglomeration economies are benefits that arise from the concentration of economic activity in a particular location, including increased specialization, reduced transportation costs, and improved access to markets.

Agriculture is typically not concentrated in urban areas, as it requires large amounts of land and is often located in rural areas.

Choropleth maps, dot maps, and isoline maps are all commonly used to represent the spatial distribution of economic activity.

The concentric zone model is an example of a core-periphery model, which suggests that urban areas are organized into a series of concentric zones, with the most desirable and expensive land uses located in the center.

Natural resources are not typically a factor that contributes to the formation of economic clusters, as clusters are typically based on knowledge and technology rather than natural resources.

The spatial distribution of economic activity is influenced by a combination of transportation costs, government policies, and natural resources.

The gravity model is an example of a spatial interaction model, which attempts to explain the volume of interaction between two locations based on their distance and other factors.

Manufacturing is typically not concentrated in rural areas, as it requires access to transportation networks and a large labor force.

The spatial distribution of economic activity can be affected by changes in technology, government policies, natural disasters, and other factors.

Mexico City is an example of a primate city, which is a city that is significantly larger than all other cities in a country.

The spatial distribution of economic activity is influenced by a combination of transportation costs, government policies, and natural resources.