User-submitted safety concerns currently updating from the Vision Zero Safety Concerns application on boston.gov. Published June 2022.

This web map is part of the Vision Zero Interactive Survey Map GIS Web Application. It includes the Vision Zero Survey hosted feature layer, filtered by Type of Comment, with six separate layers added to the map based on this classification. Additionally, each layer is filtered by the Status field, ensuring that only records where Status is "Approved" and Status is not "Review" are displayed. The Edit Form has been configured to include the fields Type of Comment, Comment, and Status. All fields are required, with Type of Comment and Status fields hidden and each populated using an Arcade function.The web map is regularly updated by the public and reviewed by the Miami-Dade Department of Transportation and Public Works, Vision Zero Program. For more information, please contact:Email: VisionZero@miamidade.govThis hosted feature layer was created by the Information Technology Department, Geospatial Technologies Division, GIS Solutions Group. For inquiries, please contact:Eudel CeperoEmail: eudel.cepero@miamidade.gov

LAND USE VISION The Connections 2050 Land Use Vision defines a regional visualization for Centers-based development and the preservation of agricultural and natural lands. The Land Use Vision divides the entire region up into four layers: Infill and Redevelopment areas, Emerging Growth areas, Rural Resource Lands, and the Greenspace Network. Overlaid on these land use areas are over 125 Centers, which are points of more concentrated development around which new development should be focused. GREENSPACE NETWORK The Plan proposes linking and expanding the region’s existing protected natural areas into a Greenspace Network, where parks, forests, meadows, stream corridors, and floodplains are joined together in an interconnected system. The Greenspace Network is based on the twin principles of protecting core natural resource areas and linking them with greenways to create a connected system of naturally vegetated open space spanning urban, suburban, and rural areas. PLEASE NOTE: GEOGRAPHY IS FOR ILLUSTRATIVE PURPOSES ONLY AND IS DESIGNED TO BE USED AT THE DVRPC REGIONAL SCALE ONLY attribute field name = Greenspace Network name lup_type = Land Use Vision Type label_id = Used for cartographic labeling of Greenspace Network All Connections 2050 Long-Range Plan elements are available online at www.dvrpc.org/plan. The Plan has two primary documents: (1) The Connections 2050 Policy Manual (www.dvrpc.org/Products/21027) identifies the vision, goals, strategies, and a summary of the financial plan. (2) The Connections 2050 Process and Analysis Manual (www.dvrpc.org/Products/21028) provides a more detailed look at the Plan’s outreach, background information, analysis, and financial plan. 7/25/23 - Land Use Vision GIS dataset was merged with Greenspace Network

Locations of community comments on various safety topics for the Vision Zero program in Arlington County. The data also includes a topic type, the comments, and the year the comments were given.Contact: Department of Environmental ServicesData Accessibility: Publicly AvailableUpdate Frequency: AnnuallyLast Revision Date: 1/17/2024Creation Date: 1/17/2024Feature Dataset Name: DES_TrafficLayer Name: VisionZero_CommunityComment_pnt

AT_2004_BACO

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation




   Summary


   Serves as a basis for performing various analyses based on parcel data.


   Description


   Assessments & Taxation (A&T) Database from MD Property View 2004 for Baltimore County. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.


   It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).


   A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 5870 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords."


   Credits


   Maryland Department of Planning


   Use limitations


   BES use only.


   Extent



   West -76.897802  East -76.335214 

   North 39.726520  South 39.192552 




   Scale Range

   There is no scale range for this item.

This dataset will be moving! The City is working on a new Open Data Portal for GIS data. This dataset will soon be available at https://data-seattlecitygis.opendata.arcgis.com/. We apologize for any inconvenience, but this new platform will allow us to regularly update our data and provided better tools for our spatial data. https://gisrevprxy.seattle.gov/arcgis/rest/services/SDOT_EXT/DSG_datasharing/MapServer/68

Check out the Reducing Traffic Deaths Visualization. View metadata for key information about this dataset.This is a subset of the annual Crash Data compiled and released by Penn DOT for the entire state. This data set contains only those crashes that occurred within the City limits and are not on any of the interstate roads. The data is restricted to a 5 year span (2013-2017) and is used for policy planning and analysis to support the Vision Zero program.For questions about this dataset, contact yihong.hu@phila.gov. For technical assistance, email maps@phila.gov.

Survey123 app for collecting the Vision Zero public input. For more information on Vision Zero Dallas, visit our website. https://dallascityhall.com/departments/transportation/Pages/VisionZeroDallas.aspx

The geospatial data fusion market is experiencing robust growth, driven by increasing demand for location-based intelligence across diverse sectors. The convergence of various data sources, including satellite imagery, sensor data, and geographic information systems (GIS), is fueling the adoption of advanced geospatial analytics. This market is segmented by delivery model (SaaS, PaaS) and application (earth observation, computer vision, military & security, and others). The SaaS model currently holds a significant market share due to its scalability and accessibility, while the demand for earth observation and computer vision applications is rapidly expanding, propelled by advancements in AI and machine learning. Government initiatives focused on national security and infrastructure development are further boosting market growth. North America and Europe currently dominate the market, but the Asia-Pacific region is projected to witness the fastest growth in the coming years due to rising investments in infrastructure and technological advancements. Competitive dynamics are characterized by a mix of established GIS vendors and specialized geospatial data fusion companies. Future growth will be influenced by factors such as increased data volumes, technological advancements in data processing and analytics, and ongoing investments in research and development. While precise figures are not provided, assuming a moderate CAGR (let's estimate at 15% for illustrative purposes), and a 2025 market size of $5 billion (a reasonable estimate considering the mentioned companies and applications), the market is poised for significant expansion. The restraints on market growth are likely associated with high initial investment costs for implementation, the need for skilled professionals to interpret the fused data, and concerns regarding data security and privacy. However, these challenges are gradually being addressed through the development of user-friendly software and robust data security protocols. The market's trajectory suggests a continuous upward trend, with growth significantly influenced by the adoption of innovative geospatial technologies and increased government and private sector investment.

Vision Zero data dashboard displaying killed or seriously injured crash data. Data dashboard supports Council Resolution 40559 and the Vision Zero Action Plan. Purpose is to show crash data trends on Tacoma streets with the goal of reaching zero by 2035. Will be updated annually.Crash data is obtained from WSDOT and includes crashes within the city of Tacoma’s geographic boundaries. Crashes were excluded if the crash occurred along limited access roadways, or segments of roadways, including I-5, SR-16, SR-705, SR-509, and SR-7.More information at ciytoftacoma.org/visionzero. Contact:Carrie Wilhelme, Senior Transportation Plannercwilhelme@cityoftacoma.org

The DC Office of the Chief Financial Officer (OCFO), Office of Tax and Revenue (OTR), Real Property Tax Administration (RPTA) values all real property in the District of Columbia. This public interactive Real Property Assessment map application accompanies the OCFO MyTax DC and OTR websites. Use this mapping application to search for and view all real property, assessment valuation data, assessment neighborhood areas and sub-areas, detailed assessment information, and many real property valuation reports by various political and administrative areas. View by other administrative areas such as DC Wards, ANCs, DC Squares, and by specific real property characteristics such as property type and/or sale date. If you have questions, comments, or suggestions regarding the Real Property Assessment Map, contact the Real Property Assessment Division GIS Program at (202) 442-6484 or maps.title@dc.gov.

AT_2004_ANNE

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation




   Summary


   Serves as a basis for performing various analyses based on parcel data.


   Description


   Assessments & Taxation (A&T) Database from MD Property View 2004 for Anne Arundel County. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.


   It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).


   A cursory review of the 2004 version of the A&T Database indicates that it has more accurate data when compared with the 2003 version, particularly with respect to dwelling types. However, for a given record it is not uncommon for numerous fields to be missing attributes. Based on previous version of the A&T Database it is also not unlikely that some of the information is inaccurate. This layer was edited to remove points that did not have a valid location because they failed to geocode. There were 897 such points. A listing of the deleted points is in the table with the suffix "DeletedRecords."


   Credits


   Maryland Department of Planning


   Use limitations


   BES use only.


   Extent



   West -76.838738  East -76.395283 

   North 39.238726  South 38.708588 




   Scale Range

   There is no scale range for this item.

This layer is a high-resolution tree canopy change-detection layer for Baltimore City, MD. It contains three tree-canopy classes for the period 2007-2015: (1) No Change; (2) Gain; and (3) Loss. It was created by extracting tree canopy from existing high-resolution land-cover maps for 2007 and 2015 and then comparing the mapped trees directly. Tree canopy that existed during both time periods was assigned to the No Change category while trees removed by development, storms, or disease were assigned to the Loss class. Trees planted during the interval were assigned to the Gain category, as were the edges of existing trees that expanded noticeably. Direct comparison was possible because both the 2007 and 2015 maps were created using object-based image analysis (OBIA) and included similar source datasets (LiDAR-derived surface models, multispectral imagery, and thematic GIS inputs). OBIA systems work by grouping pixels into meaningful objects based on their spectral and spatial properties, while taking into account boundaries imposed by existing vector datasets. Within the OBIA environment a rule-based expert system was designed to effectively mimic the process of manual image analysis by incorporating the elements of image interpretation (color/tone, texture, pattern, location, size, and shape) into the classification process. A series of morphological procedures were employed to insure that the end product is both accurate and cartographically pleasing. No accuracy assessment was conducted, but the dataset will be subjected to manual review and correction. 2006 LiDAR and 2014 LiDAR data was also used to assist in tree canopy change.

description:

This public web application is on boston.gov for users to look at Vision Zero data.

AT_2004_HARF

   File Geodatabase Feature Class


   Thumbnail Not Available

   Tags

   Socio-economic resources, Information, Social Institutions, Hierarchy, Territory, BES, Parcel, Property, Property View, A&T, Database, Assessors, Taxation




   Summary


   Serves as a basis for performing various analyses based on parcel data.


   Description


   Assessments & Taxation (A&T) Database from MD Property View 2004 for Harford County. The A&T Database contains parcel data from the State Department of Assessments and Taxation; it incorporates parcel ownership and address information, parcel valuation information and basic information about the land and structure(s) associated with a given parcel. These data form the basis for the 2004 Database, which also includes selected Computer Assisted Mass Appraisal (CAMA) characteristics, text descriptions to make parcel code field data more readily accessible and logical True/False fields which identify parcels with certain characteristics. Documentation for A&T, including a thorough definition for all attributes is enclosed. Complete Property View documentation can be found at http://www.mdp.state.md.us/data/index.htm under the "Technical Background" tab.


   It should be noted that the A&T Database consists of points and not parcel boundaries. For those areas where parcel polygon data exists the A&T Database can be joined using the ACCTID or a concatenation of the BLOCK and LOT fields, whichever is appropriate. (Spaces may have to be excluded when concatenating the BLOCK and LOT fields).

Collisions are aggregated to nearest intersection within 100', otherwise if at midblock, incident is represented as such and aggregated if within ~50'.

Seattle Parks and Recreation ARCGIS park feature map layer web services are hosted on Seattle Public Utilities' ARCGIS server. This web services URL provides a live read only data connection to the Seattle Parks and Recreations View Points dataset.