PPlanning a road, a water point or a health clinic without a map is guesswork. Geographic information systems, or GIS, put information about people, buildings and services on a shared map so planners can see where needs and resources are. For municipalities, institutions and NGOs in Haiti, that can mean fewer wasted visits and better use of limited budgets.
What GIS actually does
GIS stores data with a location attached: a point for a school, a line for a road, a polygon for a communal section. Layers can then be combined and compared. Where is the population densest? Which areas are far from a clinic? Where does a drainage line cross a flood-prone zone? Questions like these become visible instead of being argued from memory.
A planning team might overlay a clinic list on population by communal section, then add the road network. The result shows which communities live far from care, and where one new facility would reach the most people. The same method works for schools, water points, markets and warehouses.
Start from reliable boundaries
Haiti is organized into departments, communes and communal sections. Using official administrative boundaries means that your data lines up with census-based population figures and with the maps other organizations publish. It also avoids the confusion of two teams using two different versions of "the same" zone. Public estimates, such as those published by the national statistics institute, are a useful base layer for any planning study.
Before collecting anything, agree on one reference version of the boundaries and a coding system for each commune and section. Store it centrally and share it with every partner. Mismatched spellings and codes are the most common reason datasets will not join.


Put field data on the map
Satellite imagery and old records only tell part of the story. Teams on the ground see what has changed: a collapsed bridge, a new market, a blocked ravine. With mobile collection apps, they can record a photo and a GPS position in seconds and send it to a central map. Even without a connection the data is stored on the phone and synced later.
Define the attributes to capture before the team goes out.
Keep categories short and consistent.
Check coverage on the map each day to spot gaps.
Train the team with a pilot of one or two days. Check that GPS accuracy is acceptable, photos are not too large and the form works offline. Decide who reviews submissions and how quickly corrections are sent back to the field.
Turn analysis into decisions
Typical analyses are simple but powerful: distance to the nearest service, population within a set radius, density by section, or the best locations for a new warehouse or distribution point. We have used boundary data to build tools that tell a field agent, from a single shared location, which territory and nearest facility apply to a place.
Keep the output practical: a ranked list of candidate sites, a map for the meeting and a short note explaining the criteria. Decision-makers rarely need the technical detail, but they do need to trust where the numbers came from.
- 01
Know the boundaries
Use official communal sections so every dataset lines up.
- 02
Collect on the ground
Field apps put real conditions on the map, not assumptions.
- 03
Share maps simply
A map people can open and filter gets used.
Make the map easy to use
A map that only a specialist can open will not change decisions. Publish results as an interactive web map with filters and a table view, so a director can look up a commune in seconds. Train a few staff to update the data themselves, so the map stays alive after the project ends.
If you are starting out, choose one question, such as where to place a new service point, and map only the layers needed to answer it. Small, useful maps build the case for larger ones.
Write a short data dictionary explaining each layer, its source and its date. Plan updates on a schedule, for example every quarter, and name who is responsible. A map that is two years out of date quietly loses the trust of the people who rely on it.
Next Step
Mapping works best when it answers one clear planning question and when your own staff can keep the data current. If you would like a second opinion before you commit budget, the Atrax team is happy to talk it through. You can reach us through the contact page.
Atrax Team
The Atrax Team is a six-person group of engineers, GIS and data specialists, and designers based in Delmas, Haiti. Atrax has built digital products and field-data systems for Haitian organizations since 2015.





