HH&F Geospatial & Data Solutions

Precision Mapping, Intelligent Insights

Specializing in geospatial analysis, geographic information systems, and database management

Portfolio of Work

City skyline at night, tall buildings with illuminated windows.
Case study 1
  • Crime Dot-density Map for City of Chicago

     Client: City of Chicago, University of New York at Buffalo via Chris Pappas-Ford, Geospatial Manager


     Location:  Remote 

     

     Scope of Work:  

    • Engineered advanced geospatial crime statistics maps for the city of Chicago, integrating multi-dimensional datasets. 
    • Analyzed and synthesized census demographics, meteorological data, and reported crime incidents to produce spatially precise dot density maps. 
    • Systematically classified criminal activities into violent and non-violent categories and further disaggregated by typology, such as arson, battery, and theft. 
    • Conducted quantitative spatial analysis to identify correlations between increased violent crime rates and warmer weather patterns in low-income areas

    Outcome: 


    Developed probabilistic models leveraging integrated crime, climate, and population data to predict crime occurrence, temporal distributions, and spatial risk zones.

A hurricane, a swirling vortex of white clouds, viewed from space over Earth's curvature.
Case study 2
  • Janus Project – Global Geospatial Mapping Initiative

     Client: NV5, Maxar, Wiser via Chris Pappas-Ford, Geospatial Manager 


     Location: Remote  


     Scope of Work:  

    • Conducted a comprehensive spatial analysis of Earth's surface, integrating multi-modal transportation networks and terrain classifications.
    • Applied high-resolution mosaic ortho-imagery to perform land cover classification, distinguishing ecological and anthropogenic features such as evergreen and deciduous forests, barren landscapes, and urban residential zones.
    • Geocoded and digitized transportation corridors, including pedestrian pathways, arterial roadways, subterranean and elevated transit systems, and multi-modal infrastructure for precise spatial representation.
    • Utilized advanced 3D geospatial modeling environments to process, manipulate, and refine LiDAR datasets, enabling high-fidelity terrain reconstruction and topographic analysis.

    Outcome:  


    Created a detailed 3D map of the planet's surface using LiDAR technology, which focused on documenting Earth's current state to aid conservation, research, and future planning. Along with assisting with the Seabed 2030 Project, which seeks to map the entire ocean floor by 2030, using crowd-sourced sonar data to understand underwater topography and currents.

Hydroelectric plant with tall pipes running down a hillside to a white building.
Case study 3
  • Repair Underground Gas Network Project

     Client: Texas Gas via Chris Pappas-Ford, Geospatial Manager


     Location: Texas  


     Scope of Work:  

    • Digitized and repaired underground gas pipeline networks across Texas, with a focal study on El Paso for spatial accuracy and infrastructure resilience.
    • Coordinated with field teams to integrate real-time data updates into geospatial models, enhancing dynamic workflow precision.
    • Conducted detailed analysis of blueprints and as-built documentation to determine pipeline geometry, spatial location, and material characteristics for optimized asset management.
    • Developed a comprehensive strategy for pipeline service optimization and network management, employing predictive geospatial methodologies to mitigate disruptions caused by winter freeze events in Texas. 

    Outcome:  


    Enhanced the underground gas pipeline network across Texas by repairing infrastructure and resolving discrepancies in pipeline data, including shell type, geometry, and location. Streamlined response processes to improve efficiency, reducing resolution times for One Gas customers experiencing utility-related issues. Created plans for upgrading and replacing old or insufficient gas lines with newer materials that met current standards for safety and capacity. This included extending the pipelines to accommodate new appliances, increasing their diameter for higher gas flow, or upgrading materials for longevity and reduced risk of leaks.

About Us

By choosing HH&F Geospatial & Data Solutions, clients benefit from a blend of technological proficiency, ecological expertise, and regional insight, ensuring informed decision-making and sustainable land management. We are passionate about helping clients make informed, sustainable decisions.


We're more than a mapping company—we’re a team of trusted specialists who understand this region, the science behind healthy forests, and what it takes to be a good steward of the land.

Our Core Services

Parcel topology map with lineage tracking overlay and attribute validation flags

Parcel Mapping & Tax Digest Engineering

Scope Development of topologically enforced cadastral datasets for tax digest preparation, ownership validation, and legal boundary reconciliation.

  • Technical Components

    • Geodatabase schema design with topology rules (must not overlap, must be covered by boundary)
    • Automated parcel lineage tracking via Python-based split/merge detection
    • Integration with assessor databases using spatial joins and fuzzy matching algorithms
    • Annual change detection using temporal geospatial indexing
    • Metadata compliance with FGDC and state-level standards
Side-by-side CAD vs GIS topology-corrected map with schema overlay

2. AutoCAD to ArcGIS Pro Conversion & Schema Normalization

Scope Transformation of legacy CAD datasets into normalized GIS feature classes with spatial integrity and attribute schema alignment.

  • Technical Components

    • CAD layer parsing and georeferencing using control points and affine transformations
    • Topology correction via ArcPy routines (e.g., snapping, planar enforcement)
    • Domain creation for coded values and subtypes
    • Feature class normalization using ETL pipelines (ModelBuilder or Python)
    • QA reports with geometry error counts, orphan features, and schema mismatches
Dashboard with QA heatmap, KPI charts, and spatial error distribution

3. Interactive Dashboards & Spatial QA Analytics

Scope Development of real-time dashboards for spatial QA/QC, project oversight, and stakeholder reporting.

  • Technical Components

    • ArcGIS Dashboards with embedded SQL expressions and Arcade logic
    • QA heatmaps generated from error frequency and spatial clustering (DBSCAN)
    • KPI integration: percent complete, error resolution rate, reviewer throughput
    • Role-based access via ArcGIS Enterprise identity management
    • Time-enabled layers for temporal analysis of edits and corrections
Field technician using GNSS-enabled tablet with Survey123 form and live sync status

4. Field Data Collection & Sensor Integration

Scope Deployment of mobile GIS applications for field validation, asset inspection, and sensor-based data acquisition.

  • Technical Components

    • Survey123 forms with conditional logic and repeat records for nested data
    • Field Maps integration with GNSS receivers for sub-meter accuracy
    • Offline map packages (TPK, VTPK) for disconnected environments
    • Python-based sync scripts for versioned data reconciliation
    • Sensor integration: temperature, moisture, and canopy cover via IoT APIs
LiDAR point cloud with classified returns, NDVI map, and 3D terrain model

5. Drone, LiDAR & Multispectral Remote Sensing

Scope Acquisition and processing of high-resolution imagery and point cloud data for terrain modeling, vegetation analysis, and infrastructure assessment.

  • Technical Components

    • LiDAR classification using ASPRS standards (ground, vegetation, buildings)
    • DSM/DTM generation via point cloud interpolation and hydrological enforcement
    • Multispectral analysis using NDVI, SAVI, and thermal indices
    • Photogrammetric 3D modeling using Structure from Motion (SfM)
    • Change detection algorithms for erosion, canopy loss, and urban expansion
Forest classification map with burn overlays and habitat corridor modeling output

6. Environmental & Forestry Spatial Modeling

Scope Spatial analysis for forest inventory, fire risk modeling, and habitat suitability assessment.

  • Technical Components

    • Timber stand delineation using object-based image analysis (OBIA)
    • Burn history mapping via MODIS and Landsat time series
    • Fire risk modeling using FARSITE and Burn-P3 simulations
    • Habitat corridor modeling using least-cost path and resistance surfaces
    • Biomass estimation using LiDAR-derived canopy metrics and allometric equations
Utility network map with service buffers, inspection status, and risk zones

7. Infrastructure & Utility Network Mapping

Scope Digitization and spatial analysis of utility networks for service optimization, risk mitigation, and inspection workflows.

  • Technical Components

    • Utility network schema implementation (ArcGIS Utility Network model)
    • Service area modeling using network analyst and impedance surfaces
    • Risk zone overlays based on proximity to hazards and asset age
    • Field inspection integration with status tracking and condition scoring
    • Outage simulation using network tracing and failure propagation models
Branded SOP document with embedded map and version control diagram

8. Regulatory Documentation & Spatial Compliance Assets

Scope Production of audit-ready documentation and spatial deliverables for regulated industries and public sector contracts.

  • Technical Components

    • SOPs for version control, QA/QC, and data lineage
    • Onboarding guides for role-specific GIS workflows
    • RFP response templates with embedded maps and deliverable matrices
    • Metadata packages conforming to ISO 19115 and FGDC standards
    • Audit logs with spatial edit history and reviewer annotations
StoryMap preview with embedded charts and spatial narrative

9. Scientific Communication & Geospatial Visualization

Scope Translation of complex spatial analyses into decision-ready visualizations and stakeholder-facing content.

  • Technical Components

    • StoryMaps with embedded charts, maps, and narrative text
    • Infographics generated from spatial statistics and model outputs
    • Technical documentation with reproducible workflows and citations
    • Executive dashboards with simplified metrics and visual summaries
    • Custom map layouts with branding, scale bars, and annotation layers
Screenshot of ArcPy script, custom toolbox interface, and automated report output

10. Python Automation & Custom Editing Tools

Scope  Development of modular Python scripts and ArcGIS tools for automated editing, validation, and reporting.

  • Technical Components

    • ArcPy scripts for batch digitization, attribute population, and error detection
    • Custom toolboxes with parameterized inputs and logging
    • Automated PDF/HTML report generation from spatial data
    • Version-controlled editing environments using branch versioning
    • Integration with Git for script versioning and collaborative development

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