Web map dashboard for infrastructure assets

Web map dashboard for infrastructure assets

Web map dashboard for infrastructure assets

Asset layers published to a browser-based map with filters and summary panels.

About this project

Project overview

Example workflow showing how Spatial Nexus approaches this type of analysis.

Asset layers published to a browser-based map with filters and summary panels.

This page shows a typical Spatial Nexus workflow for this type of analysis.

  • GIS dashboard
  • infrastructure asset mapping
  • web GIS development
  • utility asset management
  • PostGIS Mapbox

Project at a glance

Sector
Location Intelligence
Software
Mapbox, PostGIS, Trimble, Garmin

THE CHALLENGE

What needed solving

  • Asset data was spread across files and hard to share.
  • Managers needed a live overview without GIS software.

OBJECTIVES

What the project set out to do

  • Structure asset data for publishing.
  • Build a browser-based map with filters and summaries.

Methodology

Our workflow, step by step

01

Data model

Structure asset attributes for publishing.

02

Services

Publish layers as web services.

03

Interface

Build map, filters and summary panels.

04

Handover

Document how to update data.

Visual output

The map

Select the image to view it at full size.

Los Angeles in Landsat imagery and SRTM shaded relief, showing urban infrastructure and terrain

Results

What the analysis delivered

  • Interactive asset web map.
  • Filters and summary panels for decision-making.

Key highlights

Why this project stands out

  • Data model
  • Services
  • Interface
  • Handover

Data sources

Data used

  • Asset location and attribute records
  • Base maps

Tools and technologies

Software and methods

Mapbox
PostGIS
Trimble
Garmin

Deliverables

What the client received

  • Hosted web map or application
  • Published data services
  • Admin and update guide
  • Source code where agreed

FAQ

Questions about this project

Which platforms can be used?

Mapbox, Leaflet, ArcGIS Online or GeoServer, depending on requirements.

Can access be restricted?

Yes. Dashboards can require login and role-based access.

Planning a similar geospatial project?

CAD drawings converted to a GIS asset layer

CAD drawings converted to a GIS asset layer

CAD drawings converted to a GIS asset layer

Engineering drawings georeferenced and converted into attributed GIS features.

About this project

Project overview

Example workflow showing how Spatial Nexus approaches this type of analysis.

Engineering drawings georeferenced and converted into attributed GIS features.

This page shows a typical Spatial Nexus workflow for this type of analysis.

  • CAD to GIS conversion
  • georeferencing
  • infrastructure GIS
  • utility mapping
  • AutoCAD ArcGIS integration

Project at a glance

Sector
Infrastructure
Software
AutoCAD, ArcGIS Pro, ArcMap, Global Mapper, Trimble, Leica

THE CHALLENGE

What needed solving

  • Engineering drawings were in CAD with no coordinate system.
  • Assets could not be analysed alongside other spatial data.

OBJECTIVES

What the project set out to do

  • Georeference CAD drawings.
  • Convert features into attributed GIS layers.

Methodology

Our workflow, step by step

01

Review

Check drawing layers, units and coordinate references.

02

Georeference

Align drawings to control points.

03

Convert

Convert to features and attach attributes.

04

QA

Topology and attribute checks.

Visual output

The map

Select the image to view it at full size.

Landsat images of Chandler, Arizona, showing farmland converted to urban parcels and roads

Results

What the analysis delivered

  • Georeferenced, attributed asset layers.
  • CAD and GIS exchange files.

Key highlights

Why this project stands out

  • Review
  • Georeference
  • Convert
  • QA

Data sources

Data used

  • AutoCAD drawings
  • Survey control points
  • Satellite base imagery

Tools and technologies

Software and methods

AutoCAD
ArcGIS Pro
ArcMap
Global Mapper
Trimble
Leica

Deliverables

What the client received

  • Georeferenced, attributed GIS layers
  • Contours, slope and hillshade
  • Asset register linked to the map
  • CAD and GIS exchange files

FAQ

Questions about this project

What is georeferencing?

Assigning real-world coordinates to drawings or images so they align with other spatial data.

Can GIS data be returned to CAD?

Yes. Layers can be exported back to DWG or DXF.

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3D Terrain Visualization and DEM Analysis for Engineering Planning

3D Terrain Visualization and DEM Analysis for Engineering Planning

3D Terrain Visualization and DEM Analysis for Engineering Planning

A 3D terrain model built from a digital elevation model, with hillshade, colour relief and slope analysis to support engineering and infrastructure planning.

About this project

Project overview

A 3D terrain model built from a digital elevation model, with hillshade, colour relief and slope analysis to support engineering and infrastructure planning.

  • 3D terrain visualization
  • digital elevation model analysis
  • DEM GIS
  • slope analysis
  • engineering GIS

Project at a glance

Client
Engineering and infrastructure planning
Sector
Infrastructure
Software
ArcGIS Pro, Global Mapper, QGIS, Agisoft Metashape, Pix4D, DJI

THE CHALLENGE

What needed solving

  • Flat maps made it difficult for stakeholders to understand terrain.
  • Planners needed to see steep areas and valleys before route and site decisions.

OBJECTIVES

What the project set out to do

  • Process a digital elevation model for the district.
  • Create a 3D terrain visualisation with colour relief.
  • Derive slope and terrain layers for planning.

Methodology

Our workflow, step by step

01

DEM preparation

The elevation model was clipped, filled and projected.

02

Terrain derivatives

Hillshade, slope and aspect layers were calculated.

03

3D scene

The DEM was rendered in 3D with vertical exaggeration and colour relief.

04

Visual output

Views were exported for reports and presentations.

Visual output

The map

Spatial Nexus map output. Select the image to view it at full size.

3D terrain visualisation of a district elevation model with hillshade and colour relief

Results

What the analysis delivered

  • A clear 3D terrain view of the study area.
  • Slope and hillshade layers for engineering assessment.
  • Visuals that help non-specialists understand the landscape.

Key highlights

Why this project stands out

  • 3D DEM visualisation
  • Hillshade and colour relief
  • Slope and aspect analysis
  • Presentation-ready views

Data sources

Data used

  • Digital elevation model (DEM)
  • Administrative boundary
  • Reference imagery

Tools and technologies

Software and methods

ArcGIS Pro3D scene, hillshade and slope analysis
Global MapperDEM processing
QGISData preparation
Agisoft Metashape
Pix4D
DJI

Deliverables

What the client received

  • 3D terrain visualisation images
  • Slope, aspect and hillshade rasters
  • Processed DEM

WHY IT MATTERS

Terrain analysis reduces risk in road, pipeline and site planning by revealing slopes and landforms early in design.

FAQ

Questions about this project

What is a DEM?

A digital elevation model is a raster where each cell stores ground height.

Why visualise terrain in 3D?

3D views make slopes, valleys and ridges easy to understand for engineers and stakeholders.

Which data sources can be used?

Free global DEMs such as SRTM and Copernicus, or high-resolution LiDAR where available.

Planning a similar geospatial project?

GIS Data Audit and Workflow Review for an Infrastructure Team

GIS Data Audit and Workflow Review for an Infrastructure Team

GIS Data Audit and Workflow Review for an Infrastructure Team

A geospatial consultancy engagement reviewing an organisation's GIS data, software and workflows, with a prioritised plan to improve quality and efficiency.

About this project

Project overview

Example workflow showing how Spatial Nexus approaches this type of analysis.

A geospatial consultancy engagement reviewing an organisation's GIS data, software and workflows, with a prioritised plan to improve quality and efficiency.

  • GIS consultancy
  • GIS data audit
  • geospatial workflow review
  • GIS strategy
  • spatial data quality

Project at a glance

Client
Infrastructure organisation
Sector
Infrastructure
Software
ArcGIS Pro / QGIS, PostGIS, Python, QGIS

THE CHALLENGE

What needed solving

  • Spatial data was stored in many formats with inconsistent attributes.
  • Repetitive manual tasks slowed the GIS team.
  • There was no documented data standard.

OBJECTIVES

What the project set out to do

  • Assess data quality, structure and coordinate systems.
  • Review software and workflows.
  • Recommend practical improvements and priorities.

Methodology

Our workflow, step by step

01

Discovery

Interviews and a data inventory established how GIS is used.

02

Quality checks

Layers were tested for completeness, topology, attributes and CRS.

03

Workflow review

Manual tasks suitable for automation were identified.

04

Roadmap

Findings were turned into a prioritised improvement plan.

Visual output

The map

Select the image to view it at full size.

Project planning meeting with notes on a whiteboard

Results

What the analysis delivered

  • A clear picture of data strengths and gaps.
  • Recommended data standard and folder structure.
  • A list of automation opportunities.

Key highlights

Why this project stands out

  • Independent expert review
  • Data quality assessment
  • Automation opportunities
  • Prioritised roadmap

Data sources

Data used

  • Existing GIS layers and databases
  • CAD drawings
  • Interviews with GIS users

Tools and technologies

Software and methods

ArcGIS Pro / QGISData inspection and quality checks
PostGISDatabase review
PythonAutomated quality reports
QGIS

Deliverables

What the client received

  • Audit report
  • Data standard recommendations
  • Improvement roadmap

WHY IT MATTERS

A structured review helps teams fix data problems at the source and focus effort where it saves the most time.

FAQ

Questions about this project

Do you need access to our systems?

Usually a copy of key datasets and short interviews are enough.

Can you help implement the recommendations?

Yes. We can support implementation or train your team.

Planning a similar geospatial project?