GIS Consultant for HE at Esri UK

Ellaline Luzby24 years oldGraduate GIS Consultant

Addy PopeHigher Education Manager - Esri UKStill think I am a glaciologistGIS consultant GIS EducationDidn't actually do any GIS as an undergrad.

The Geographic Information System (GIS) Analytics market is experiencing robust growth, projected to reach a market size of $2979.7 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 5.6% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of cloud-based GIS solutions offers scalability and cost-effectiveness, attracting both large enterprises and smaller organizations. Furthermore, the rising demand for location intelligence across various sectors, including urban planning, environmental management, and logistics, significantly drives market growth. Advancements in data analytics techniques, such as machine learning and artificial intelligence, are enhancing the capabilities of GIS analytics, leading to more accurate predictions and insightful decision-making. The integration of GIS with other technologies, like IoT and Big Data, further amplifies its value proposition across diverse applications. Competitive pressures among established players like ESRI, Hexagon, Pitney Bowes, SuperMap, Bentley Systems, GE, GeoStar, and Zondy Cyber Group are driving innovation and fostering market expansion. However, market growth might face certain challenges. The complexity of GIS analytics software and the need for specialized expertise can hinder widespread adoption, particularly among smaller businesses with limited resources. Data security and privacy concerns related to handling sensitive location data also pose a significant restraint. Despite these challenges, the long-term outlook remains positive, driven by continuous technological innovation, increasing data availability, and growing awareness of the strategic value of location intelligence across various industries. The market's segmentation, while not explicitly provided, can reasonably be assumed to include software, services, and hardware components, further contributing to its multifaceted growth trajectory.

GIS Consultant for HE at Esri UK

I am Jessica Baker, I am 23 and I am a technical relationship consultant at Ordnance Survey.

This Mat-Su Borough road centerlines dataset contains assigned official road names, address ranges, and cartographic classifications. This data is used to create the MSAG table for the Enhanced 9-1-1 program and is suitable for geo-coding purposes. Note: Cartographic classification of roads now includes a classification of "NOT CONST'D" which denotes roads that have been platted but not yet constructed. Original data was aggregated by a consultant (McLane Consulting of Soldotna, AK) as a part of the original addressing/911 project. Centerlines were interpolated from existing digital CAD drawings of property and ROW lines. Consultant (McClane) then did field work to append the centerline file to include additional road segments not represented as part of ROW within the property maps. Additional segments were input using GPS and "heads up" 85 digitizing methods. Each was adjusted to fit with the existing data. Data was originally stored in MapInfo (MIF) format and later converted to ESRI shapefile (SHP) format. Additional data related to the state highway system was collected using GPS technology between 1997 and 1999 by the Alaska Department of Transportation. This data was used to supplement the Borough data set for portions of the Parks Highway, Glenn Highway, Old Glenn Highway, Petersville Road, Denali Highway, and Lake Louise Road. Replacement of those street segments based upon property map interpolation but now available within the AK-DOT GPS collection is planned for Summer 2001. Data is maintained in an ongoing basis, primarily taken from subdivision plats, right-of-way plats, or other similar documentation of road existence. Data is input based on road centerlines as shown on subdivision plats and using "heads up" digitizing from aerial imagery.

Based on Town ID, this dataset only displays the data for the 7 towns within Dukes County MAAquinnah = 104Chilmark = 62Edgartown = 89Gosnold = 109Oak Bluffs = 221Tisbury = 296West Tisbury = 327Data are compiled by the Town's parcel data consultant. As of FY24, all towns are using Cartographic Technologies. Data are provided to MassGIS and hosted by them in ArcGIS OnLine. Data comply to the MassGIS Level 3 parcel data standard. Data are updated about once per year. The extract of assessing info is static & done at the time the data are compiled by the consultant. For more current assessing info, visit the town's respective online assessing map.

Based on Town ID, this dataset only displays the data for the 6 towns on Martha's VineyardAquinnah = 104Chilmark = 62Edgartown = 89Oak Bluffs = 221Tisbury = 296West Tisbury = 327Data are compiled by the Town's parcel data consultant. As of FY24, all towns are using Cartographic Technologies. Data are provided to MassGIS and hosted by them in ArcGIS OnLine. Data comply to the MassGIS Level 3 parcel data standard. Data are updated about once per year. The extract of assessing info is static & done at the time the data are compiled by the consultant. For more current assessing info, visit the town's respective online assessing map.

This map and corresponding dataset provide the location, satellite images and square footage of existing green roofs within the City of Chicago. This dataset is in ESRI shapefile format. To view or use these files, compression software and special GIS software, such as ESRI ArcGIS, is required. This information is derived from an analysis of high-spatial resolution (50cm), pan-sharpened, ortho-rectified, 8-band multi-spectral satellite images collected by Digital Globe’s Worldview-2 satellite. The City supplied the consultant with a 2009 City boundary shapefile to determine the required extent of the imagery. Acquisition of three different strips of imagery corresponding to the satellite’s paths was required. These strips of imagery spanned three consecutive months and were collected in August 2010 (90% coverage), September 2010 (5% coverage) and October 2010 (5% coverage). The results of the analysis include overall count of vegetated roofs, their total square footage, and the ratio of required to elective vegetated roofs. A total of 359 vegetated roofs were identified within the City of Chicago. The total square footage of these vegetated roofs was calculated to be approximately 5,469,463 square feet. The ratio of required vegetated roofs to elective vegetative roofs was 297:62 (~5:1). The median size of the vegetated roofs was calculated to be 5,234 square feet.

Geodatabase is updated weekly, on Sunday evenings with an ETL script "JoinstoGDB_OverwriteAGOL.py". Script written by Esri Technical Consultant, Richard L'Esperance, 2021.This file geodatabase contains two feature classes: Lucas_Parcels_CAMA (polygon): information from .dbo.OHLUC_CAMA table joined to CADASTRE dataset's Parcels geometry. Table created by LCIS expressly for this purpose with CAMA data from LEGDAT, OWNDAT, and PARDAT tables.Lucas Sales (point): CAMA data from PARDAT and SALES tables.DO NOT DELETE THIS FILE GEODATABASE!!!

This project explores the feasibility of integrating solar-powered infrastructure into bike pathways as a sustainable energy and transportation solution for California. Using advanced tools like ArcGIS (for analysis), PVWatts, SAM, and JEDI, this study evaluates the economic, environmental, and technical implications through a conceptual case study based in Riverside. Insights drawn from global case studies and stakeholder feedback highlight challenges such as financial constraints, regulatory complexities, and technical design considerations, while also identifying opportunities for renewable energy generation, greenhouse gas emission reductions, and enhanced urban mobility. The conceptual case study serves as a framework for assessing potential benefits and informing actionable strategies. Recommendations address barriers and align implementation with California’s climate action and sustainability goals, offering a roadmap for integrating renewable energy with active transportation sy..., The data collection and processing methods for this project utilized a combination of publicly available tools and resources to ensure accuracy and usability. Key geospatial, energy modeling, and economic analysis data were gathered using reliable tools such as ArcGIS, SAM, JEDI, and PVWatts, with outputs systematically processed into accessible formats. This approach enabled comprehensive analysis of bike path integration, energy performance, and economic impacts.

Data Collection:

BikePaths_Riverside.qgz: Geospatial data detailing bike paths in Riverside was gathered from publicly available sources and initially analyzed using ArcGIS Pro. To ensure open access and reusability, the data has been converted to a .qgz project file compatible with QGIS (version 3.42), a free and open-source GIS platform.

SAM_Input_Variable_Values.csv: Input parameters were collected based on standard system specifications, financial assumptions, and default or adjusted inputs available in the System Ad..., , # Data for: Solar bike path feasibility study in California

https://doi.org/10.5061/dryad.4tmpg4fn1

Description of the data and file structure

The data was collected to evaluate the feasibility, technical requirements, and potential impacts of integrating solar-powered infrastructure into bike pathways. The study utilized geospatial data from ArcGIS for spatial analysis and site evaluation, combined with energy modeling tools such as PVWatts and SAM to estimate energy production, greenhouse gas reductions, and financial metrics. The JEDI model was employed to assess economic and job creation impacts. These efforts were guided by a conceptual case study in Riverside, California, to simulate real-world scenarios and inform actionable strategies for renewable energy integration. Feedback from stakeholders further shaped the analysis, addressing technical, economic, and regulatory challenges while aligning with California's sustainability goa...,

A polyline feature class representing contour lines at 10 foot intervals for the City of Alexandria, Virginia. Data captured by consultant during 2017 VBMP planimetric project. The imagey used was 3 inch pixels.

Geodatabase is updated weekly, on Sunday evenings with an ETL script "JoinstoGDB_OverwriteAGOL.py". Script written by Esri Technical Consultant, Richard L'Esperance, 2021.This file geodatabase contains two feature classes: Lucas_Parcels_CAMA (polygon): information from .dbo.OHLUC_CAMA table joined to CADASTRE dataset's Parcels geometry. Table created by LCIS expressly for this purpose with CAMA data from LEGDAT, OWNDAT, and PARDAT tables.Lucas Sales (point): CAMA data from PARDAT and SALES tables.DO NOT DELETE THIS FILE GEODATABASE!!!

Transit Station point locations throughout the HART project corridor.Data maintained by HART consultant CH2M.

A list of trees considered to be appropriate for planting within our local area. It is available as a resource and reference, to assist in the future selection and planting of trees on public and private land. For more information on its use and development refer to the Tree Species List – Development and Use Report.The City of Sydney Tree Species List (the list) is a list of trees considered to be appropriate for planting within our local area. The list was developed with the assistance of professional arboricultural consultants, academics, landscape architects, an Indigenous consultant and experienced urban forest practitioners. It is hoped that the list will be a valuable resource and reference, to assist in the future selection and planting of trees on public and private land.Selecting the most appropriate tree to be planted is an important process. It can be crucial to the long-term success of a landscape. To get the best results for the City or your project, the right tree must be planted in the right place, and at the right time. It can also be complicated, with many factors to be considered and balanced before arriving at a decision. The data presented in the list will help to narrow down the potential options, to arrive at tree species that are most appropriate, based on the various site conditions, the design attributes, and any personal preferences. This FAQ answers some key questions and provides a short guide to help.

Attachment regarding request by Jeff Foster, P.E. on behalf of Zadell Development, LLC for subdivision First Plat review and approval of Anfield Estates, consisting of 11 lots on 24.7 acres, located off Beaver Creek Road (SR-1008), parcel 5491 in Cape Fear Township.

Attachment regarding public Hearing request by Redd Dog LLC for a conditional use permit on Parcels #2684 and #2683 (to be recombined) consisting of 1.83 acres collectively, located at the corner of US 15-501 N and Woodbridge Dr., for a “Veterinary clinics and hospitals with dog runs or equivalent facilities” business.