Stefan Graf, Ursina Boos, EsriKon Zürich

Cristy Parsons · Geospatial Portfolio is a dynamic online platform that highlights my expertise and passion for geospatial technologies. This portfolio features a variety of GIS projects I've worked on, showcasing my skills in spatial analysis, mapping, and data visualization. Each project demonstrates the use of GIS tools to address real-world problems, from community art mapping to land use analysis. The site includes interactive maps, embedded StoryMaps, web mapping applications, and other geospatial content, offering visitors an in-depth look at my professional capabilities and projects. It's also a space where I can continue to grow, share new work, and connect with the geospatial community.

Through our database of over 230 million POI records and global coverage, we help businesses optimize their marketing efforts, due diligence, and company analysis with precise location-based targeting.

Business can customize their strategies according to specific industries and customer segments using our Location Data, which encompasses several categories, such as retail, hospitality, transportation, healthcare, and many others.

Here are 3 key features for our Location POI product:

➣ Coverage: We developed an AI and ML technology that helped us to get complete worldwide coverage.

➣ Recency: Our ML technology automatically prioritized different sources of data, based on their recency to gather data. By using this technology, we can receive updates up to once a week, per specific geography.

➣ Accuracy: Xverum aims to provide the most accurate and comprehensive data on each POI. We rank the diverse data sources to select the most suitable for each attribute such as Location, Contact Details, Opening hours, and much more.

Make strategic business decisions based on location-specific data, optimizing operations, mitigating risks, and maximizing opportunities. Unlock the power of location data with Xverum. Contact us today to learn how we can empower your business with location data to achieve goals.

This portfolio discusses how the National 4-H Geospatial Leadership Team (NGLT) is dedicated to empowering youth through GIS technology, research, and community-driven mapping initiatives. Their work spans health data analysis, historical mapping, and interactive StoryMaps, fostering innovation in geospatial education. By participating in national conferences, career mentorships, and technical development projects, NGLT strengthens youth leadership and expands the role of GIS in solving real-world challenges.

The Office of the Deputy Mayor for Planning and Economic Development (DMPED) is charged with executing the Mayor's economic development strategy. DMPED manages a portfolio of real estate projects located across the District of Columbia. More information is available on the Project Pipeline Database (PPD) Public Access Dashboard.

Location and detailed property and funding information on all rental properties.-- Additional Information: Category: Miscellaneous Purpose: Location and detailed property and funding information on all rental properties (5 units or greater) that have received direct or indirect financing from the Portland Housing Bureau or its predecessors. Direct and indirect financing subsidizes rental properties to provide below-market rents to income-qualified tenants. Update Frequency: Regular-- Metadata Link: https://www.portlandmaps.com/metadata/index.cfm?&action=DisplayLayer&LayerID=54551

The size of the Geographic Information System Market market was valued at USD 10.76 billion in 2024 and is projected to reach USD 19.29 billion by 2033, with an expected CAGR of 8.7 % during the forecast period. Recent developments include: In July 2024, Ceinsys Tech Ltd. announced the expansion of its GIS services portfolio in the U.S. market with the asset purchase of Virtual Tours, LLC. , In May 2024, NV5 Global, Inc. announced the acquisition of GIS Solutions, Inc., which provides enterprise GIS technologies and services such as GIS application development and cloud-based database design. , In April 2023, Trimble Inc. launched Trimble Unity AMS solution, which is the GIS-centric electric-based platform developed to manage the lifecycle of asset infrastructure. .

Geographic Information Systems (GIS) allow communities to collect, store, analyze, and visualize location-based data. In Franklin-Simpson County, GIS is used every day to support safety, utilities, planning, and public engagement. This StoryMap explores how local departments use geospatial processing to serve our community more efficiently and effectively.

This layer displays parcel locations that are part of the official Leon County land portfolio. The content in this layer is maintained by the Leon County Real Estate Department (LCRED). Locations are displayed by the following categories:1Review (Parcels that are under review)Facilities-LeasedFacilities-OwnedParks and RecreationRowWater ManagementSurplusTax Deeds

The USGS Protected Areas Database of the United States (PAD-US) is the nation's inventory of protected areas, including public open space and voluntarily provided, private protected areas, identified as an A-16 National Geospatial Data Asset in the Cadastral Theme (http://www.fgdc.gov/ngda-reports/NGDA_Datasets.html). PAD-US is an ongoing project with several published versions of a spatial database of areas dedicated to the preservation of biological diversity, and other natural, recreational or cultural uses, managed for these purposes through legal or other effective means. The geodatabase maps and describes public open space and other protected areas. Most areas are public lands owned in fee; however, long-term easements, leases, and agreements or administrative designations documented in agency management plans may be included. The PAD-US database strives to be a complete “best available” inventory of protected areas (lands and waters) including data provided by managing agencies and organizations. The dataset is built in collaboration with several partners and data providers (http://gapanalysis.usgs.gov/padus/stewards/). See Supplemental Information Section of this metadata record for more information on partnerships and links to major partner organizations. As this dataset is a compilation of many data sets; data completeness, accuracy, and scale may vary. Federal and state data are generally complete, while local government and private protected area coverage is about 50% complete, and depends on data management capacity in the state. For completeness estimates by state: http://www.protectedlands.net/partners. As the federal and state data are reasonably complete; focus is shifting to completing the inventory of local gov and voluntarily provided, private protected areas. The PAD-US geodatabase contains over twenty-five attributes and four feature classes to support data management, queries, web mapping services and analyses: Marine Protected Areas (MPA), Fee, Easements and Combined. The data contained in the MPA Feature class are provided directly by the National Oceanic and Atmospheric Administration (NOAA) Marine Protected Areas Center (MPA, http://marineprotectedareas.noaa.gov ) tracking the National Marine Protected Areas System. The Easements feature class contains data provided directly from the National Conservation Easement Database (NCED, http://conservationeasement.us ) The MPA and Easement feature classes contain some attributes unique to the sole source databases tracking them (e.g. Easement Holder Name from NCED, Protection Level from NOAA MPA Inventory). The "Combined" feature class integrates all fee, easement and MPA features as the best available national inventory of protected areas in the standard PAD-US framework. In addition to geographic boundaries, PAD-US describes the protection mechanism category (e.g. fee, easement, designation, other), owner and managing agency, designation type, unit name, area, public access and state name in a suite of standardized fields. An informative set of references (i.e. Aggregator Source, GIS Source, GIS Source Date) and "local" or source data fields provide a transparent link between standardized PAD-US fields and information from authoritative data sources. The areas in PAD-US are also assigned conservation measures that assess management intent to permanently protect biological diversity: the nationally relevant "GAP Status Code" and global "IUCN Category" standard. A wealth of attributes facilitates a wide variety of data analyses and creates a context for data to be used at local, regional, state, national and international scales. More information about specific updates and changes to this PAD-US version can be found in the Data Quality Information section of this metadata record as well as on the PAD-US website, http://gapanalysis.usgs.gov/padus/data/history/.) Due to the completeness and complexity of these data, it is highly recommended to review the Supplemental Information Section of the metadata record as well as the Data Use Constraints, to better understand data partnerships as well as see tips and ideas of appropriate uses of the data and how to parse out the data that you are looking for. For more information regarding the PAD-US dataset please visit, http://gapanalysis.usgs.gov/padus/. To find more data resources as well as view example analysis performed using PAD-US data visit, http://gapanalysis.usgs.gov/padus/resources/. The PAD-US dataset and data standard are compiled and maintained by the USGS Gap Analysis Program, http://gapanalysis.usgs.gov/ . For more information about data standards and how the data are aggregated please review the “Standards and Methods Manual for PAD-US,” http://gapanalysis.usgs.gov/padus/data/standards/ .

The TNC Ecoregional Portfolio Core Data Set is one of a set of Core Conservation Data Sets managed in GIS by The Nature Conservancy's network of Conservation Data Nodes. This Core Data Set will enable TNC to more effectively deliver data and products of ecoregional assessments to key conservation partners. The data set is being developed in phases. The first phase aggregates all maps of terrestrial ecoregional portfolios developed by The Conservancy across the fifty United States. Subsequent phases of this data set will include biodiversity conservation targets (species and ecosystems) and goals for their conservation, as well as adding existing freshwater and marine portfolios to the terrestrial portfolio developed in the current data set. Each TNC ecoregional portfolio site (aka 'priority conservation area') represents not a conserved area, but a proposed conservation area as part of a hypothetical conservation reserve design which would meet conservation goals established by The Nature Conservancy. Each portfolio site is identified in the attribute table by a name and the ecoregional assessment area, or ecoregional portfolio, to which the site belongs. More information on TNC ecoregional portfolios can be found at: http://www.nature.org/aboutus/howwework/cbd/science/art19228.html# Deeper information can also be accessed here: http://conserveonline.org/workspaces/cbdgateway/era/index_html This dataset is a Conservancy Core Conservation Dataset. The purpose of core datasets is to make prioritized GIS data available throughout The Nature Conservancy and, as appropriate, make data available to the public in a format that can be easily maintained, shared, and leveraged through new GIS and web technologies. The Nature Conservancy's Core Conservation Datasets include: - TNC Ecoregional Portfolio Core Dataset - TNC Lands Core Dataset - TNC Conservation Projects Core Dataset. The BLM has been granted permission from The Nature Conservancy to publish this dataset, which is a snapshot of the Ecoregional Portfolio dataset taken when the REA analysis was completed. Users are encouraged to request the most current dataset directly from TNC, and not misrepresent that this dataset is the most current. Current data can be obtained at http://www.uspriorityareas.tnc.org/, and reports at https://www.conservationgateway.org/ConservationPlanning/SettingPriorities/EcoregionalReports/Pages/EastData.aspx.

Abstract: The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.
Purpose: The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.

This dataset represents the GIS Version of the Public Land Survey System including both rectangular and non-rectangular surveys. The primary source for the data is cadastral survey records housed by the BLM supplemented with local records and geographic control coordinates from states, counties as well as other federal agencies such as the USGS and USFS. The data has been converted from source documents to digital form and transferred into a GIS format that is compliant with FGDC Cadastral Data Content Standards and Guidelines for publication. This data is optimized for data publication and sharing rather than for specific 'production' or operation and maintenance. This data set includes the following: PLSS Fully Intersected (all of the PLSS feature at the atomic or smallest polygon level), PLSS Townships, First Divisions and Second Divisions (the hierarchical break down of the PLSS Rectangular surveys), and the Bureau of Census 2015 Cartographic State Boundaries. The Entity-Attribute section of this metadata describes these components in greater detail. Please note that the data on this site, although published at regular intervals, may not be the most current PLSS data that is available from the BLM. Updates to the PLSS data at the BLM State Offices may have occurred since this data was published. To ensure users have the most current data, please contact the BLM PLSS Data Set Manager.

The DC Housing Finance Agency is the financial intermediary and administrator of affordable housing programs and resources for the District of Columbia. Through its Multifamily Lending and Neighborhood Investment and Capital Markets divisions, DCHFA issues tax-exempt mortgage revenue bonds to lower the developers’ costs of acquiring, constructing and rehabilitating rental housing. The Agency offers private for-profit and non-profit developers low-cost predevelopment, construction and permanent financing that supports the new construction, acquisition, and rehabilitation of affordable rental housing in the District. DCHFA’s Single Family Programs division creates homeownership opportunities in the District by providing low-cost single family mortgages and down payment assistance, made possible through the issuance of mortgage-backed securities.

The Runways dataset is updated every 28 days from the Federal Aviation Administration (FAA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Runways database contains runways in the United States and US territories containing information on the physical characteristics of the runways. This data layer contains runways that have corresponding and reported runways ends, and the linear feature of the runway could be created based off these points. The runways in the dataset are associated with the airports dataset on NTAD, showing runways for all official and operational aerodromes. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529077

The Recording District Boundary coverage depicts the 34 recording districts established for the administration of a system for recording and filing of documents. These boundaries were created by the Alaska Court System as the Alaska Recording Districts Portfolio (ARDP). The Portfolio dated September 1 1964 was mandated by Alaska Supreme Court Order No. 12 Amendment No. 13 effective July 1 1975. All files and records within these boundaries are maintained by each of the 14 districts Recording Offices.

The Forest Inventory and Analysis (FIA) research program has been in existence since mandated by Congress in 1928. FIA's primary objective is to determine the extent, condition, volume, growth, and depletion of timber on the Nation's forest land. Before 1999, all inventories were conducted on a periodic basis. The passage of the 1998 Farm Bill requires FIA to collect data annually on plots within each State. This kind of up-to-date information is essential to frame realistic forest policies and programs. Summary reports for individual States are published but the Forest Service also provides data collected in each inventory to those interested in further analysis. Data is distributed via the FIA DataMart in a standard format. This standard format, referred to as the Forest Inventory and Analysis Database (FIADB) structure, was developed to provide users with as much data as possible in a consistent manner among States. A number of inventories conducted prior to the implementation of the annual inventory are available in the FIADB. However, various data attributes may be empty or the items may have been collected or computed differently. Annual inventories use a common plot design and common data collection procedures nationwide, resulting in greater consistency among FIA work units than earlier inventories. Links to field collection manuals and the FIADB user's manual are provided in the FIA DataMart.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService FIA Datamart ArcGIS Hub Dataset USFS-flavored ISO-19139 metadata For complete information, please visit https://data.gov.

Clean Transportation Program Data 2022. The Clean Transportation Program (also known as Alternative and Renewable Fuel and Vehicle Technology Program) invests up to $100 million annually in a broad portfolio of transportation and fuel transportation projects throughout the state. The Energy Commission leverages public and private investments to support adoption of cleaner transportation powered by alternative and renewable fuels. The program plays an important role in achieving California’s ambitious goals on climate change, petroleum reduction, and adoption of zero-emission vehicles, as well as efforts to reach air quality standards. The program also supports the state’s sustainable, long-term economic development.Data within this application was last updated August 2024.For more information on the Clean Transportation Program, visit:https://www.energy.ca.gov/programs-and-topics/programs/clean-transportation-program

The Navgiational Facilities dataset is periodically updated by the United States Army Corp of Engineers (USACE) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The data includes location (latitude, longitude, waterway, mile, and bank); operations (name, owner, operator, purpose, handling equipment, rates, and details of open-and-covered storage facilities); and type of construction (length of berthing space for vessels and/or barges, depth, deck elevation, and details of rail-and-highway access). Additional attributes included in the data are the unique navigation-unit identifier, official name, facility type, United Nations Location Code, a location description, stress address, city, state, zip code, county, congressional district, TOWS link location identifiers, port name, waterway name, mile, bank, and service-initiated dates. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1529017

The FS National Forests Dataset (US Forest Service Proclaimed Forests) is a depiction of the boundaries encompassing the National Forest System (NFS) lands within the original proclaimed National Forests, along with subsequent Executive Orders, Proclamations, Public Laws, Public Land Orders, Secretary of Agriculture Orders, and Secretary of Interior Orders creating modifications thereto, along with lands added to the NFS which have taken on the status of 'reserved from the public domain' under the General Exchange Act. The following area types are included: National Forest, Experimental Area, Experimental Forest, Experimental Range, Land Utilization Project, National Grassland, Purchase Unit, and Special Management Area.