
GIS Projects
GIS and Data Analyst with a multidisciplinary background in spatial analysis, cartography, data visualization, graphic design, and environmental stewardship. Skilled in using ArcGIS Pro to convert complex spatial data into clear, decision-support products that facilitate informed environmental planning and resource management.

Development Suitability & Communications Tower Visibility Analysis
Development Suitability & Communications Infrastructure Assessment
Evaluated development suitability and communications tower visibility within Vermont's Mad River Valley by integrating terrain, land cover, environmental constraints, and accessibility datasets. Applied raster analysis, viewshed analysis, and spatial modeling in ArcGIS Pro to identify suitable development areas, assess communications infrastructure coverage, and produce decision-support maps supporting land use and infrastructure planning.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Raster & Spatial Analysis: Raster Analysis, Spatial Analysis, Map Algebra, Terrain Analysis, Land Cover Analysis, Euclidean Distance Analysis, Cost Distance Analysis, and Viewshed Analysis
Modeling & Planning: Site Suitability Modeling, Land Use Planning, Infrastructure Planning
Cartography & Visualization: Cartography and Data Visualization

Residential Properties Within 400 Meters of Impaired Waterways
Residential Properties Near Impaired Waterways Analysis
Identified residential properties located within 400 meters of Section 303(d) impaired waterways along the Winooski River and Stevens Branch in central Vermont. Applied spatial selection, proximity analysis, and cartographic techniques in ArcGIS Pro to evaluate potential residential exposure to impaired surface waters and produce decision-support maps supporting environmental planning and water resource management.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Spatial Analysis: Spatial Analysis, Proximity Analysis, Buffer Analysis, and Spatial Selection
Environmental Applications: Environmental GIS and Water Resources
Cartography & Communication: Cartography, Map Layout Design, and Data Visualization
Data Management: GIS Data Management and Metadata Documentation

County-Level Housing Vacancy Analysis: Vermont Housing Vacancy Rates by County
County-Level Housing Vacancy Analysis
Analyzed county-level housing vacancy patterns across Vermont using 2019 U.S. Census American Community Survey (ACS) data. Integrated tabular and spatial datasets through attribute joins, calculated county housing vacancy rates, and produced a choropleth map illustrating regional patterns to support housing planning, community development, and regional policy analysis.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Spatial Analysis & Data Integration: Spatial Data Analysis, Tabular Joins, Attribute Joins, Summary Statistics, and GIS Data Integration
Data Management & Analysis: Data Management and Census Data Analysis
Cartography & Visualization: Thematic Mapping, Cartography, and Data Visualization
Planning Applications: Community Planning

Forest Canopy Assessment of Vermont Conservation Priority Areas
Conservation Priority Area Analysis
Evaluated forest canopy conditions within Vermont conservation priority areas by integrating National Land Cover Database (NLCD) tree canopy data with Representative Landscapes and Biological Hotspots datasets. Applied spatial overlay analysis and zonal statistics in ArcGIS Pro to quantify canopy cover within overlapping conservation areas and produce decision-support maps supporting biodiversity conservation, forest management, and natural resource planning.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Spatial Analysis: Spatial Analysis, Raster Analysis, Vector Analysis, Overlay Analysis, and Zonal Statistics
Environmental Applications: Conservation Planning, Forest Canopy Analysis, Biodiversity Assessment, and Environmental GIS
Cartography & Visualization: Cartography and Data Visualization

Emergency Response Network Analysis
Fire Station Response Accessibility Analysis
Evaluated emergency response accessibility across Chittenden County, Vermont, using ArcGIS Network Analyst. Applied closest facility, service area, and route optimization analyses to model fire station response times, assess accessibility to government facilities, and produce decision-support maps supporting emergency response planning and public safety infrastructure.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro and ArcGIS Network Analyst
Network & Spatial Analysis: Network Analysis, Closest Facility Analysis, Route Optimization, Service Area Analysis, and Spatial Analysis
Planning Applications: Emergency Response Planning and Transportation Analysis
Data Management: GIS Data Management
Cartography & Visualization: Cartography and Data Visualization

Watershed Development & Forest Conservation Assessment
Hydrologic & Landscape Analysis of the Mad River Valley
Conducted a watershed-scale analysis of Vermont's Mad River Valley by integrating hydrologic, land cover, impervious surface, property assessment, and forest conservation datasets. Applied ArcGIS Pro hydrology tools, raster analysis, zonal statistics, and tabulate intersection to evaluate watershed characteristics, forest canopy change, development pressure, and land enrolled in Vermont's Use Value Appraisal (Current Use) Program. Produced decision-support maps supporting watershed management, conservation planning, and land use decision-making.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Hydrologic & Spatial Analysis: Hydrologic Analysis, Watershed Delineation, Spatial Analysis, Raster Analysis, Hydrology Tools, Flow Direction & Flow Accumulation
Spatial Modeling & Statistics: Zonal Statistics, Tabulate Intersection, and Buffer Analysis
Environmental Applications: Land Cover Analysis, Forest Canopy Analysis, and Environmental GIS
Cartography & Visualization: Cartography and Data Visualization

Coordinate System Standardization Workflow
Coordinate System Management & Spatial Data Standardization
Standardized spatial datasets for regional GIS analysis by identifying an undefined coordinate system, defining the appropriate spatial reference, and reprojecting datasets into a common equal-area coordinate system. Applied ArcGIS Pro data management tools and projection workflows to ensure accurate spatial alignment, improve data interoperability, and establish a standardized foundation for reliable regional spatial analysis.
Software: ArcGIS Pro
Coordinate Systems & Projections: Coordinate Systems, Spatial Reference Management, Define Projection, and Project Tool.
Data Management & Quality: Data Standardization, Data Management, and Geospatial Data Quality
Cartography & Workflow: Cartography and GIS Workflow Development

Parcel-Level Building Footprint Inventory
Building Footprint Inventory & Parcel Analysis
Developed a parcel-level building inventory by digitizing building footprints from aerial imagery in Montpelier, Vermont. Applied feature editing, attribute development, overlay analysis, and metadata documentation in ArcGIS Pro to create and validate geospatial datasets, quantify building coverage, and support GIS data management, quality assurance, and geodatabase development.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
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Software: ArcGIS Pro
Data Creation & Editing: Feature Editing, GIS Digitization, Spatial Data Creation, Attribute Development
Data Management & Quality: Geodatabase Management, GIS Data Management, Metadata Documentation, and Data Quality Control
Spatial Analysis: Spatial Analysis and Overlay Analysis
Cartography & Visualization: Cartography

Landsat 8 Multispectral Imagery Interpretation
Multispectral Satellite Imagery Analysis
Processed and interpreted Landsat 8 multispectral satellite imagery to evaluate vegetation health and land cover patterns across Chittenden County, Vermont. Applied spectral band combinations and image interpretation techniques to produce natural color and color infrared composite imagery, enhancing the visualization of vegetation, developed areas, water bodies, and other land cover types for environmental analysis and land use planning.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Remote Sensing & Imagery: Remote Sensing, Landsat 8, Multispectral Imagery, Satellite Image Interpretation, Color Infrared Analysis, and Natural Color Composite
Spatial Analysis: Spatial Analysis, Land Cover Analysis, and Environmental GIS
Cartography & Visualization: Cartography and Data Visualization

Landsat 8 Multispectral Imagery Interpretation & Vegetation Density Assessment Using NDVI
Remote Sensing & Vegetation Density Analysis
Processed Landsat 8 multispectral satellite imagery to evaluate vegetation density and land cover patterns across Chittenden County, Vermont. Applied spectral band combinations to generate natural color and color infrared composite imagery, calculated the Normalized Difference Vegetation Index (NDVI), and summarized vegetation density by census block group using zonal statistics. Integrated satellite-derived vegetation metrics with population density data to examine relationships between urban development and green space distribution, producing maps and visualizations supporting environmental planning and land use analysis.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Remote Sensing & Imagery: Remote Sensing, Landsat 8, Multispectral Imagery, Satellite Image Interpretation, and NDVI Analysis
Raster & Spatial Analysis: Raster Analysis, Spatial Analysis, Zonal Statistics, and Statistical Analysis
Data Integration: Census Data Integration and Environmental GIS
Cartography & Visualization: Cartography and Data Visualization

Headwaters Black Creek Watershed Assessment
Hydrologic, Land Cover, and Wetland Characterization
Integrated hydrologic boundaries, stream networks, land cover, and wetland datasets to characterize Vermont's Headwaters Black Creek watershed. Applied spatial analysis and cartographic techniques in ArcGIS Pro to produce thematic maps and summary statistics that support watershed planning, conservation, and natural resource management.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Spatial & Hydrologic Analysis: Spatial Analysis, Hydrologic Analysis, Watershed Analysis, and Land Cover Analysis
Environmental Applications: Wetland Mapping and Environmental GIS
Cartography & Visualization: Cartography and Data Visualization
Data Management: GIS Data Management

Modeled Solar Energy Potential Across Vermont's Mad River Valley
Hydrologic, Land Cover, and Wetland Characterization
Integrated modeled solar resource density with forest canopy data to evaluate solar energy potential across Vermont's Mad River Valley. Applied raster-based spatial modeling and spatial analysis techniques in ArcGIS Pro to identify areas with varying solar development potential and produce a decision-support map supporting renewable energy planning and land management.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Raster & Spatial Analysis: Raster Analysis, Spatial Analysis, Spatial Modeling, Point Density Analysis, Raster Calculator, and Conditional (Con) Analysis
Planning Applications: Renewable Energy Planning, Land Suitability Analysis, Environmental GIS
Cartography & Visualization: Cartography and Data Visualization

Residential Site Suitability Assessment for the Winooski River Basin
Multi-Criteria Residential Site Suitability Analysis
Integrated environmental and development datasets, including canopy cover, residential density, transportation infrastructure, development pressure, and proximity to impaired waterways, to evaluate municipal suitability for residential development within Vermont's Winooski River Basin. Applied multi-criteria spatial analysis, weighted overlay modeling, raster analysis, and proximity analysis in ArcGIS Pro to identify candidate locations and produce decision-support maps supporting land use planning, environmental planning, and natural resource management.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Spatial Modeling & Analysis: Multi-Criteria Decision Analysis (MCDA), Site Suitability Analysis, Spatial Analysis, Weighted Overlay Analysis, Raster Analysis, Zonal Statistics, Point Density Analysis, Euclidean Distance Analysis
Planning Applications: Environmental Planning, Land Use Planning
Data Integration: Data Integration
Cartography & Visualization: Cartography and Data Visualization

Variable-Distance Buffer Analysis for Land Use Planning
Automated Buffer Analysis Using ArcGIS Pro ModelBuilder
Developed an automated geoprocessing workflow in ArcGIS Pro ModelBuilder to generate variable-distance buffers around recreational and community points of interest within Vermont's Mad River Valley. Applied ModelBuilder, iterative processing, and user-defined parameters to automate repeatable spatial analyses, improve workflow efficiency, and produce decision-support maps supporting land use planning and recreation management.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro and ModelBuilder
Workflow Automation: GIS Workflow Automation, GIS Workflow Design, Iterative Processing, and Model Parameters
Spatial Analysis & Geoprocessing: Geoprocessing, Spatial Analysis, and Buffer Analysis
Environmental Applications: Environmental GIS
Cartography & Visualization: Cartography and Data Visualization

Wildfire Risk Classification & Fuel Treatment Cost Analysis
Wildfire Risk Assessment & Fuel Treatment Prioritization
Evaluated vegetation characteristics and wildfire behavior indicators to classify wildfire risk across vegetation management units in the Oakland Hills, California. Applied vector analysis, attribute queries, and geoprocessing in ArcGIS Pro to estimate vegetation treatment costs by risk class and produce decision-support maps and charts supporting fuel reduction planning, wildfire mitigation, and natural resource management.
Project Context:
Originally developed through the University of Vermont's Advanced GIS course (GIS & Data Communication Certificate)and later refined for my professional portfolio.
Software: ArcGIS Pro
Spatial Analysis: Spatial Analysis, Vector Analysis, Attribute Queries (SQL), Geoprocessing, Field Calculations, Data Classification
Environmental Applications: Environmental GIS, Wildfire Risk Assessment, Decision Support Analysis
Cartography & Visualization: Cartography and Data Visualization