Board of Review District based on 2010 census.

Please click here to view the Data Dictionary, a description of the fields in this table.Individual lists of both submitted plans and plans in review.1 full year of data updated weekly.

The purpose of the design review process is to: Allow for special projects to be approved by the Zoning Commission after a public hearing and a finding of no adverse impact; Recognize that some areas of the District of Columbia warrant special attention due to particular or unique characteristics of an area or project; Permit some projects to voluntarily submit themselves for design review in exchange for flexibility because the project is superior in design but does not need extra density; Promote high-quality, contextual design; and Provide for flexibility in building bulk control, design, and site placement without an increase in density or a map amendment.

This data support the paper "A systematic review on the integration of remote sensing and GIS to forest and grassland ecosystem health attributes, indicators, and measures " by Irini Soubry, Thuy Doan, Thuan Chu and Xulin Guo 2021 in the journal of "Remote Sensing" by MDPI. It includes the "Search_Effort.csv" list with the keywords and number of studies selected for further examination, the "Potential_Studies.csv" with the post-filtering of suitability and notes related to each study, the "Metadata.csv" with the information collected for each metadata variable per study, and the "ExtractedData.csv" with the information collected for each extracted dta variable per study. More information about the data collection and procedures can be found in the respective manuscript.

Tables, Charts and data from survey or questionnaire obtained when writing the article, Gis in Ghana: A review

Field Name Field Type Field Description FID Integer Unique identifier for the projects ARP Project Text The ARP code assigned to project. LAT Project Text The LAT code assigned to project. Project Name Text The name used to identify the project. Description Text An explanation of the project Project Location Text The address of the project Priority Area Text The priority area the project belongs. Agency Organization Text The agency involves in executing the project. Project Owner Text A leader in the executing agency. Chief Text Executive Text Start Date Date The date the project commenced. End Date Text The projected date to close the project. Allocation Integer The amount allocated to the project at commencement. Council District Integer The council district the project falls. Project Text The category of the project.

This online map displays California’s active Underground Gas Storage (UGS) projects and wells associated to UGS projects. Project data and well data are provided by CalGEM’s Well Statewide Tracking and Reporting System (WellSTAR). Wells are displayed by well type and the association to a UGS project.CalGEM is the Geologic Energy Management Division of the California Department of Conservation, formerly the Division of Oil, Gas, and Geothermal Resources (as of January 1, 2020).WellSTAR homepageUpdate Frequency: As Needed

The purpose of this data set is to illustrate design review districts as they become adopted by city council. The purpose of the Design Review Districts is for the protection of the value, appearance and use of public and private property; the maintenance of a high level of community development and the achievement of orderly, harmonious and integrated development in specific areas within the city of Sacramento. Contact GIS at: sacgis@cityofsacramento.org

The MBTA GTFS Pre-rating Recap collection contains text files that describe a generalized MBTA schedule for a specific season. While the MBTA posts all previously published GTFS files, this collection makes it easier to find the schedule that the MBTA ran for the majority of a season instead of having to identify the "correct" one from the GTFS archive.We recommend using these files instead of the current GTFS when doing historical analyses.Data dictionary:https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs.mdTo view all previously published GTFS files, please refer to the link below:https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs-archive.mdMassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

Reviews of small and large scale development projects within Cumberland County, NC.

The MBTA GTFS Post-rating Recap collection contains text files that describe MBTA schedule which includes any planned changes in service that became known after the rating began (weekend shuttle buses, change to reduced service schedule due to a snow day, etc.) for a specific season. Data dictionary:https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs.mdTo view all previously published GTFS files, please refer to the link below:https://github.com/mbta/gtfs-documentation/blob/master/reference/gtfs-archive.mdMassDOT/MBTA shall not be held liable for any errors in this data. This includes errors of omission, commission, errors concerning the content of the data, and relative and positional accuracy of the data. This data cannot be construed to be a legal document. Primary sources from which this data was compiled must be consulted for verification of information contained in this data.

How do you ensure your data is free of errors? While you may already leverage ArcGIS Data Reviewer for its automated validation capabilities, you might ocassionally encounter problems with certain challenging subsets of features. For example, think about a situation in which you expected an automated data check to return a certain error but it did not. You tried configuring the check over and over again, but did not figure out a method of automatically detecting the error.Visual review can help. Manually reviewing your data provides a way to find errors that are difficult to detect using automated methods, such as features that are missing, misplaced, miscoded, or redundant.The following graphic shows the topics that will be covered throughout the course. You will learn the associated workflows that take advantage of ArcGIS Data Reviewer functionality.After completing this course, you will be able to:Determine situations in which visual review is appropriate.Analyze a statistically significant sample.Create a QC grid and perform a systematic visual review.Indicate missing, misplaced, miscoded, or redundant features.Recognize how to find changes between versions.

Contains GIS Mapping

Xverum’s Point of Interest (POI) Data is a comprehensive dataset containing 230M+ verified locations across 5000 business categories. Our dataset delivers structured geographic data, business attributes, location intelligence, and mapping insights, making it an essential tool for GIS applications, market research, urban planning, and competitive analysis.

With regular updates and continuous POI discovery, Xverum ensures accurate, up-to-date information on businesses, landmarks, retail stores, and more. Delivered in bulk to S3 Bucket and cloud storage, our dataset integrates seamlessly into mapping, geographic information systems, and analytics platforms.

🔥 Key Features:

Extensive POI Coverage: ✅ 230M+ Points of Interest worldwide, covering 5000 business categories. ✅ Includes retail stores, restaurants, corporate offices, landmarks, and service providers.

Geographic & Location Intelligence Data: ✅ Latitude & longitude coordinates for mapping and navigation applications. ✅ Geographic classification, including country, state, city, and postal code. ✅ Business status tracking – Open, temporarily closed, or permanently closed.

Continuous Discovery & Regular Updates: ✅ New POIs continuously added through discovery processes. ✅ Regular updates ensure data accuracy, reflecting new openings and closures.

Rich Business Insights: ✅ Detailed business attributes, including company name, category, and subcategories. ✅ Contact details, including phone number and website (if available). ✅ Consumer review insights, including rating distribution and total number of reviews (additional feature). ✅ Operating hours where available.

Ideal for Mapping & Location Analytics: ✅ Supports geospatial analysis & GIS applications. ✅ Enhances mapping & navigation solutions with structured POI data. ✅ Provides location intelligence for site selection & business expansion strategies.

Bulk Data Delivery (NO API): ✅ Delivered in bulk via S3 Bucket or cloud storage. ✅ Available in structured format (.json) for seamless integration.

🏆Primary Use Cases:

Mapping & Geographic Analysis: 🔹 Power GIS platforms & navigation systems with precise POI data. 🔹 Enhance digital maps with accurate business locations & categories.

Retail Expansion & Market Research: 🔹 Identify key business locations & competitors for market analysis. 🔹 Assess brand presence across different industries & geographies.

Business Intelligence & Competitive Analysis: 🔹 Benchmark competitor locations & regional business density. 🔹 Analyze market trends through POI growth & closure tracking.

Smart City & Urban Planning: 🔹 Support public infrastructure projects with accurate POI data. 🔹 Improve accessibility & zoning decisions for government & businesses.

💡 Why Choose Xverum’s POI Data?

• 230M+ Verified POI Records – One of the largest & most detailed location datasets available.
• Global Coverage – POI data from 249+ countries, covering all major business sectors.
• Regular Updates – Ensuring accurate tracking of business openings & closures.
• Comprehensive Geographic & Business Data – Coordinates, addresses, categories, and more.
• Bulk Dataset Delivery – S3 Bucket & cloud storage delivery for full dataset access.
• 100% Compliant – Ethically sourced, privacy-compliant data.

Access Xverum’s 230M+ POI dataset for mapping, geographic analysis, and location intelligence. Request a free sample or contact us to customize your dataset today!

A map used by the My Environmental Reviews app to track projects under environmental review.

Contains various post-processed model outputs and GIS layers including flood risk precincts, emergency response classifications, road overtopping details and flood planning area

Note: This map is not an official zoning map. For precise zoning information, please call or visit the Seattle Municipal Tower, Seattle Department of Construction and InspectionsCity of Seattle's land use zoning historic district and special review district overlays.

For more information on the Pine Barrens visit https://pb.state.ny.us/central-pine-barrens/overview/ and https://pb.state.ny.us/our-work/our-work/land-use-project-review/development-application-process/.

view layer updated weekly for the City of Sandy Springs Week in Review, this view layer contains the cities late reviews