Spatial intelligence guide
How to Create a Land Use and Amenities Map for a Site Analysis
A building does not exist in isolation.
The uses around a site often tell you more about its potential than the site itself.
Is it surrounded by housing?
Offices?
Retail?
Schools?
Restaurants?
Industrial buildings?
Parks?
A land use and amenities map makes this relationship visible.
For architects and urban planners, it is one of the easiest ways to understand the character of a neighbourhood before starting a project.
What is a land use map?
A land use map shows how different parts of an area are being used.
Typical categories include:
residential;
commercial;
office;
industrial;
institutional;
recreational;
green space;
transport;
mixed use.
An amenities map adds specific destinations such as:
cafes;
restaurants;
supermarkets;
schools;
hospitals;
pharmacies;
cultural venues;
sports facilities.
Together, they answer:
What kind of neighbourhood is this, and what does it offer?
Scenario: understanding a site before design
Imagine you are designing a mixed-use building.
You have the site address, but you do not yet understand the neighbourhood.
You want to know:
What uses surround the site?
Where is residential activity concentrated?
Where are the commercial streets?
Where are the schools?
Where are the parks?
What amenities are missing?
A simple land use and amenities map can answer these questions quickly.
Step 1 — Start with the site
Choose the project location.
Then define the study area.
A 500-metre radius is often a useful starting point for local context.
For larger planning projects, use 1 km or more.
The correct area depends on the question.
Step 2 — Map the main land uses
Start with broad categories.
For example:
Residential
Commercial
Office
Industrial
Institutional
Green / recreation
You do not need a perfect classification to gain useful insight.
The first goal is to understand the dominant character of the area.
Step 3 — Add amenities
Now add points of interest.
For a neighbourhood analysis, useful categories might include:
Daily needs
supermarkets;
pharmacies;
convenience stores.
Food
restaurants;
cafes;
bakeries.
Education
schools;
universities;
childcare.
Healthcare
hospitals;
clinics;
dentists.
Recreation
parks;
gyms;
sports facilities.
Culture
museums;
theatres;
libraries.
The exact categories depend on the project.
Example prompt
A simple AI spatial request could be:
“Create a land use and amenities map within 500 metres of this site. Show residential, commercial, office, industrial and green areas, and add supermarkets, restaurants, schools, healthcare and public transport.”
Then narrow it down:
“Show only amenities relevant to everyday residential life.”
Or:
“Show restaurants and cafes within a 10-minute walk.”
The same site can produce many different analytical maps depending on the question.
Look for patterns, not just points
A map becomes interesting when you stop looking at individual locations and start looking at patterns.
For example:
Commercial concentration
Are restaurants and shops concentrated along one street?
Residential clusters
Where is housing most concentrated?
Mixed-use areas
Where do residential and commercial uses overlap?
Amenity gaps
Are there parts of the neighbourhood with very few services?
Public-space network
How do parks connect to surrounding uses?
These patterns can influence both architecture and urban planning.
Example: designing a mixed-use building
Suppose the site is located at the edge of a commercial district.
The map shows:
dense residential development to the north;
restaurants and retail to the south;
a park to the east;
offices to the west.
That immediately suggests several design questions.
Should the building address different edges differently?
Should the commercial frontage face the retail street?
Should residential entrances face the quieter side?
Could the building strengthen the connection between the park and commercial area?
The map does not answer these questions.
It helps you ask better questions.
Example: identifying an amenity gap
Imagine analysing a neighbourhood for a new residential development.
The map shows:
many housing units;
several restaurants;
good transit;
multiple parks;
but very few grocery stores.
That could be relevant for:
development programming;
ground-floor retail;
neighbourhood planning;
market research.
The analysis does not prove that a supermarket would succeed.
But it identifies something worth investigating.
Compare existing amenities with accessibility
Land use and accessibility become much more powerful together.
For example:
Land use map
→ Where are the amenities?
Accessibility map
→ Which amenities can residents actually reach?
You may discover that an amenity is geographically close but difficult to access.
Or that several amenities are clustered in one part of the neighbourhood, leaving another area underserved.
This is why maps should be treated as analytical layers rather than isolated graphics.
Use amenity density as a simple indicator
One useful analysis is to measure the concentration of amenities.
For example:
Number of restaurants within 500 metres.
Or:
Number of grocery stores within a 10-minute walk.
Or:
Number of schools within a 15-minute walking catchment.
These indicators can help compare multiple sites.
Again, they should be treated as signals, not definitive measures of site quality.
Land use maps for urban planning
For urban planners, the same workflow can be applied at a larger scale.
Instead of one site, analyse:
a neighbourhood;
a district;
a development corridor;
a city centre.
Questions might include:
Where is residential development concentrated?
Which areas have the strongest commercial activity?
Where are the amenity gaps?
Which neighbourhoods have poor access to public services?
Where are mixed-use areas emerging?
This can support early-stage planning analysis before more detailed studies.
Keep the map simple
Land use maps can become overwhelming very quickly.
Avoid mapping every possible category.
Start with five or six.
For example:
Residential
Commercial
Office
Industrial
Institutional
Green space
Then create separate maps for detailed amenities.
This makes the spatial story much easier to understand.
A practical workflow
1. Locate
Find the site.
2. Define
Choose the analysis area.
3. Classify
Map the dominant land uses.
4. Add
Add relevant amenities.
5. Analyse
Look for concentrations and gaps.
6. Compare
Combine with accessibility or demographic data.
7. Export
Use the map in reports, presentations or GIS/CAD workflows.
Final takeaway
A site analysis should answer more than:
“What does the site look like?”
It should also answer:
“What kind of place is this?”
A land use and amenities map provides a simple way to understand that.
Start with:
Land use + amenities + site location.
Then ask more specific questions:
Where is activity concentrated?
What is missing?
What can the new project contribute?
For architects, this can inform early design thinking.
For urban planners, it can reveal neighbourhood patterns and service gaps.
And for both, it provides a much clearer picture of the place before making design decisions.
FAQ
What is a land use and amenities map?
It is a map that combines broad land use categories with everyday destinations such as shops, schools, healthcare, parks and transit.
Why map amenities during site analysis?
Amenity mapping shows what services exist around a site, where activity is concentrated and where neighbourhood gaps may affect design or planning decisions.
How can Aino help create land use maps?
Aino can combine site location, land use, POI and accessibility data into spatial layers that support faster neighbourhood analysis.
What practitioners say
“The amenities map made the site’s daily-life context clear to both planners and clients.”
— Victor, Planning Associate
Further reading and resources
Continue with related Aino guides, product pages and documentation: