Spatial Data Integration & Processing Services
Turn scattered, multi-format spatial data into a single clean, consistent source ready for analysis and WebGIS visualization.
From Raw Data to Ready-to-Use Information
Spatial data often arrives in many formats, different coordinate systems, and uneven quality. We help integrate and process it into a tidy, standardized spatial database that is ready to use.
This stage is often underrated, yet it is where WebGIS projects stall most often. A beautiful map does not help if its polygons overlap, its areas disagree with the official documents, or one district appears twice under two spellings. Fixing the data first is almost always cheaper than patching the symptoms after the system is live.
Formats We Handle
Vector. Shapefile (SHP), GeoJSON, KML/KMZ, GeoPackage (GPKG), GML, and PostGIS tables. Shapefile remains the most common despite limitations worth watching: field names truncate at 10 characters and a single file cannot exceed 2 GB.
Raster. GeoTIFF, ECW, JPEG2000, and processed drone imagery. Includes mosaicking and clipping to administrative boundaries.
CAD. DWG and DXF from engineering drawings. CAD data almost always needs special handling because it is usually drawn on local coordinates with no geographic reference, so it must be transformed first.
Tabular. Excel and CSV, whether they already carry coordinate columns or only an area identifier such as a village code or parcel number, which we then join to spatial features.
Cleaning and Topology Validation
Topology errors are the problem we find most often in legacy data, and their impact shows up directly in the numbers.
Overlapping polygons. Two parcels covering each other inflate the total area. If that data feeds tax assessment or budgeting, the result is systematically wrong.
Gaps between polygons. Thin slivers of empty space between parcels that should be adjacent. Often invisible at normal zoom, yet they break overlay analysis.
Invalid geometry. Polygons whose boundary crosses itself, or duplicate vertices at one coordinate. PostGIS will refuse some operations on geometry like this.
Duplication. The same feature entered twice, usually from merging sources without a unique identifier.
Inconsistent attributes. Area names spelled differently, mixed units, or date columns in several formats. This is what makes table joins fail silently.
We use QGIS topology validation and PostGIS functions to detect every one of these error classes, then report the findings to you before repairing them — because some decisions, such as which parcel is correct when two documents disagree, are not ours to make.
Coordinate Systems
In Indonesia, field data often arrives in zoned UTM while web systems need geographic WGS 84 or Web Mercator. Misinterpreting a coordinate system produces shifts of tens of metres — enough to move a parcel onto its neighbour. We set and transform coordinate systems explicitly, then record them in metadata so they never become a later puzzle.
Processing Services
- Format conversion: shapefile, GeoJSON, KML, CAD, and PostGIS.
- Coordinate system transformation & georeferencing.
- Geometry cleaning, topology validation, and deduplication.
- Spatial analysis: overlay, buffer, zonal statistics, and more.
- PostGIS database ready to connect to WebGIS/Geoportal.
- Metadata authoring: source, date, coordinate system, and processing history.
A Repeatable Process
We express processing as Python scripts and QGIS models rather than a sequence of manual clicks. The consequence matters to you: when next year's data update arrives, the same process can be re-run with consistent results, without anyone having to remember the steps that were taken.
Deliverables
You receive consistent, documented data ready to display on a WebGIS or publish through an OGC Geoportal. We use QGIS, PostGIS, and Python to ensure the process is accurate and repeatable. Alongside the database you get a report of the errors found and the actions taken — a useful basis for improving data governance later.
Frequently Asked Questions
Why does our data need cleaning first?
Because errors in the data become errors in the numbers. Overlapping polygons inflate total area, gaps between parcels break overlay analysis, and area names spelled differently make table joins fail silently. Fixing the data first is almost always cheaper than patching the symptoms after the system is live.
Can CAD data (DWG/DXF) be used for a WebGIS?
Yes, but it almost always needs special handling. CAD drawings are usually created on local coordinates with no geographic reference, so they must be transformed before they sit correctly on a map. CAD objects are also often loose lines that do not yet form closed polygons, so valid geometry has to be rebuilt.
What if our data is only an Excel file with no coordinates?
It can still be used as long as a column can be joined to existing spatial features — an area code, village name, or parcel number. We join your table to reference geometry through that column. If the identifier is inconsistent, with varying spellings or non-uniform codes, reconciling it becomes part of the cleaning work.
Do we receive the processed data?
Yes. You receive the PostGIS database plus exports in the formats you request, a report of errors found and actions taken, and metadata recording source, date, and coordinate system. The processing scripts are handed over too, so the same process can be re-run when data is updated.
Can this service be taken separately without building a WebGIS?
Yes. Some clients only need their data repaired and standardised for use in their own QGIS or ArcGIS, with no web system at all. We still deliver the full output with report and metadata.
