AdminConsole
Tutorials/Intermediate
Intermediate55 minWeb

Render a governed GeoJSON operations layer

Validate geometry, assign stable feature IDs, style deterministically, and synchronize map and table selection.

By the endAn accessible map layer whose visual state is reproducible from source data.
Real-world scenario

Build against an explicit contract

An operations dashboard must turn source-disclosed GeoJSON into a reproducible accessible map-and-table view.

A Mappls developer projectA restricted Web applicationFixture data with no production credentialsA request, aggregate, or correlation ID strategy
Step 1

Define the user and system contract

An operations dashboard must turn source-disclosed GeoJSON into a reproducible accessible map-and-table view. Record the region, data freshness, latency budget, privacy purpose, credential owner, and fallback before choosing an SDK or endpoint.

Step 2

Validate before rendering

Enforce feature count/bytes, supported geometry, CRS expectation, coordinate bounds, unique stable IDs, safe properties, source, date, and license.

Maps · SDK or product slice
<!doctype html>
<html>
  <head>
    <script src="https://sdk.mappls.com/map/sdk/web?v=3.0&access_token=YOUR_STATIC_KEY"></script>
    <style>html, body, #map { height: 100%; margin: 0; }</style>
  </head>
  <body>
    <div id="map"></div>
    <script>
      const map = new mappls.Map("map", {
        center: { lat: 28.612964, lng: 77.229463 },
        zoom: 12
      });
    </script>
  </body>
</html>
Step 3

Compile deterministic style state

Derive layers, filters, colors, sizes, labels, z-order, legend, and bounds from versioned rules rather than ad-hoc UI mutations.

Step 4

Synchronize interaction

Use the feature ID across map hit-test, table row, URL, focus, details, and export; provide non-color cues and a table path for every actionable feature.

Step 5

Prove the production behavior

Automate the happy path and every named failure. The release is ready only when the same input and rules produce identical style output; invalid features fail with diagnostics; map and table always share one selected id. Capture provider request identity without logging credentials or unnecessary precise location.

Recovery design

Failure modes you must exercise

unsupported geometry or CRS

Fail fast with a typed, user-safe outcome and preserve the original request identity.

duplicate/missing feature identity

Keep the last verified state, mark freshness honestly, and retry only within the documented idempotency boundary.

large collection exceeds render budget

Reconcile durable local and provider evidence before declaring success or issuing a compensating command.

Never turn uncertainty into success

Timeout after a stateful command is an unknown outcome. Query by provider/idempotency identity or wait for authoritative events; do not blindly retry a new command.

Acceptance criteria

Definition of done

the same input and rules produce identical style outputinvalid features fail with diagnosticsmap and table always share one selected ID

Web production checks

Origin restrictions include every deployed hostnameMap lifecycle follows the framework lifecycleLarge datasets are tiled, clustered, or progressively loadedKeyboard, touch, reduced-motion, and failure states are tested
Grounded implementation

Continue from source, contracts, and a full app

These links resolve to repository-derived evidence; unsupported package names and endpoints are not filled in from guesswork.

Study the complete Governed spatial analysis state machine
Tutorial complete

Run it, break it, then observe it

Start with fixture credentials, execute the failure plan, and use request logs, usage, webhook evidence, and operational metrics before promoting traffic.