To access parcel information:Enter an address or zoom in by using the +/- tools or your mouse scroll wheel. Parcels will draw when zoomed in.Click on a parcel to display a popup with information about that parcel.Click the "Basemap" button to display background aerial imagery.From the "Layers" button you can turn map features on and off.Complete Help (PDF)Parcel Legend:Full Map LegendAbout this ViewerThis viewer displays land property boundaries from assessor parcel maps across Massachusetts. Each parcel is linked to selected descriptive information from assessor databases. Data for all 351 cities and towns are the standardized "Level 3" tax parcels served by MassGIS. More details ...Read about and download parcel dataUpdatesV 1.1: Added 'Layers' tab. (2018)V 1.2: Reformatted popup to use HTML table for columns and made address larger. (Jan 2019)V 1.3: Added 'Download Parcel Data by City/Town' option to list of layers. This box is checked off by default but when activated a user can identify anywhere and download data for that entire city/town, except Boston. (March 14, 2019)V 1.4: Data for Boston is included in the "Level 3" standardized parcels layer. (August 10, 2020)V 1.4 MassGIS, EOTSS 2021

Massachusetts city and town boundaries, drawn with yellow lines, and labeled with yellow municipal names, ideal for display atop aerial photography.Please see https://www.mass.gov/info-details/massgis-data-municipalities for full metadata.

Download PDF maps here.Zoning Map - 11X17in color mapZoning Map - 30X16in black & white mapZoning Map - 34X46in color mapZoning Map - 8X11in black and white mapZip Code Map - 11X17in color mapZip Code Map - 34X46in color mapExisting Affordable Housing 2008 Map - 11X17in color mapExisting Affordable Housing 2010 Map - 11X17in color mapExisting Affordable Housing 2010 Map - 34X148 color mapCDBG Map Based upon 2000 Census Tract - 11X177 color mapNeighborhood Associations MapWireless Telecommunication Anetenna Location Map - 34X46 color map

Massachusetts water features, including lakes, ponds, rivers, streams and wetlands. From USGS hydrography. For full metadata and links to download free data please visit https://www.mass.gov/info-details/massgis-data-massdep-hydrography-125000.

December 1995, June 2001

This political boundary layer is the most accurate representing the city and town boundaries in the Commonwealth of Massachusetts.

This datalayer has been created from latitude and longitude coordinates found in the 68-volume Harbor and Lands Commission Town Boundary Atlas. This Atlas series, and updates since it was published, describes the legal boundary for each of the 351 municipalities in Massachusetts. These coordinates were recorded from surveys of the location of each boundary marker around the periphery of each community. Each survey was tied into higher order monumented survey control points. The Atlases also include detailed descriptions of each community's boundary and location maps for each of the original boundary marker locations. The original surveys were conducted in the 1890s. The Atlas series was published in the early 1900s and has since been updated by the Survey Section of the Massachusetts Highway Department with changes as they are approved by the legislature. MassGIS staff collaborated closely with staff from the Survey Section during the development of this data layer. MassGIS staff keyed the coordinates into a database; that data entry was double-checked by staff from the Survey Section. Staff from the Survey Section then converted the latitude/longitude coordinates to the NAD83 datum and also created a version of the coordinates in state plane coordinates with units of meters. MassGIS used the state plane coordinates to "generate" points in ArcGIS. Boundary arcs from the existing USGS-derived municipal boundary data layer were then snapped to the survey-derived points. The differences between the municipal boundary arcs digitized from those on the USGS quads and those created by snapping to the survey-derived coordinates are typically plus or minus 12 feet, although these differences are sometimes less and sometimes more. Some municipal boundary arcs (about 15% of the total) follow the edge of a road or rail right-of-way or a stream or river channel. In these cases, the new boundary arcs were "heads up" digitized based on features visible on the statewide 1:5,000 color orthos from imagery flown in 2001.

For communities with a coastal boundary, MassGIS collaborated with the Massachusetts Water Resources Authority and the Department of Environmental Protection to complete a 1:12,000 scale coastline.

City/Town names' labels are included in this service.

(This service was published from a map document using the Web Mercator projection for the data frame.)

For full metadata please see http://www.mass.gov/itd/townsurvey.

About the App This app hosts data from Heat Resilience Solutions for Boston (the Heat Plan). It features maps that include daytime and nighttime air temperature, urban heat island index, and extreme heat duration. About the DataA citywide urban canopy model was developed to produce modeled air temperature maps for the City of Boston Heat Resilience Study in 2021. Sasaki Associates served as the lead consultant working with the City of Boston. The technical methodology for the urban canopy model was produced by Klimaat Consulting & Innovation Inc. A weeklong analysis period during July 18th-24th, 2019 was selected to produce heat characteristics maps for the study (one of the hottest weeks in Boston that year). The data array represents the modelled, average hourly urban meteorological condition at 100 meter spatial resolution. This dataset was processed into urban heat indices and delivered as georeferenced image layers. The data layers have been resampled to 10 meter resolution for visualization purposes. For the detailed methodology of the urban canopy model, visit the Heat Resilience Study project website.

This public map service contains points and polygons representing information from the Massachusetts Cultural Resource Information System (MACRIS) database and related records on file at the Massachusetts Historical Commission (MHC), including the Inventory of Historic Assets of the Commonwealth, National Register of Historic Places nomination forms, local historic district study reports, local landmark reports, and other materials. The MACRIS database and the layers within the MACRIS Maps web application are updated regularly as new information is submitted and added, and as the accuracy of earlier versions of the datalayer is improved. Three datalayers are being made available to the public: The Inventory Points layer contains the locations of buildings, burial grounds, structures, and objects (e.g. statues, monuments, walls). The points layer is symbolized to indicate the most common historic designation types: 1) National Register of Historic Places, 2) local historic district, 3) both National Register and local historic district, 4) Preservation Restriction, 5) Massachusetts Historic Landmark (MA/HL) and 6) inventoried but not designated with one of the previous designations. Less common designations are not symbolized in MACRIS, but are included in the Designations attribute field.The Inventory Areas polygon layer includes areas and districts symbolized in MACRIS in a similar manner to Inventory Points. Another polygon layer, Towns, possesses a binary “y” or blank field to indicate whether a town has a survey pending digitization. Please note that new and updated information is added to MHC files daily, and that there may be considerable lag time before this information is reflected in MACRIS or in MACRIS Maps. Map information for “completed” towns may not reflect the most current information on file with MHC. For additional information, users may consult the source records, forms and maps that make up the official Inventory of Historic and Archaeological Assets of the Commonwealth, on file at the MHC, Massachusetts Archives Building, 220 Morrissey Boulevard, Boston, during weekday business hours. No appointment is needed. For directions, see https://www.sec.state.ma.us/mhc/.See the metadata for more details.

This map includes shoreline change data for the state of Massachusetts hosted by the Massachusetts Office of Coastal Zone Management.The active data layer in this map is Massachusetts Shoreline Change Transect (1970-2014) with short-term shoreline change rates. To view long-term rates, open map in Map Viewer to turn on layer.The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a shoreline from 1994 was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-9 color aerial orthoimagery and 2007 topographic lidar datasets obtained from the National Oceanic and Atmospheric Administration's Ocean Service, Coastal Services Center. In 2018 two new mean high water (MHW) shorelines for Massachusetts were extracted from lidar collected between 2010 and 2014 (described below). 2018 addition shoreline 1The North Shore and South Coast uses 2010 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise. The South Shore and Outer Cape uses 2011 lidar data collected by the U.S. Geological Survey's (USGS) National Geospatial Program Office. Nantucket and Martha’s Vineyard uses 2012 lidar data collected by the USACE (post Sandy)from a 2012 USACE Post Sandy Topographic lidar survey. 2018 addition shoreline 2The North Shore, Boston, South Shore, Cape Cod Bay, Outer Cape, South Cape, Nantucket, Martha’s Vineyard, and the South Coast (around Buzzards Bay to the Rhode Island Border) is from 2013-14 lidar data collected by the (USGS) Coastal and Marine Geology Program. This 2018 update of the rate of shoreline change in Massachusetts includes two types of rates. Some of the rates include a proxy-datum bias correction, this is indicated in the filename with “PDB”. The rates that do not account for this correction have “NB” in their file names. The proxy-datum bias is applied because in some areas a proxy shoreline (like a High Water Line shoreline) has a bias when compared to a datum shoreline (like a Mean High Water shoreline). In areas where it exists, this bias should be accounted for when calculating rates using a mix of proxy and datum shorelines. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150 years) and short term (~30 years) rates. Files associated with the long-term rates have “LT” in their names, files associated with short-term rates have “ST” in their names.

The Digital Surficial Geologic-GIS Map of Minuteman National Historical Site and Vicinity, Massachusetts is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (mima_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (mima_surficial_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (mima_geology.gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (mima_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (mima_surficial_geology_metadata_faq.pdf). Please read the mima_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: http://www.google.com/earth/index.html. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (mima_surficial_geology_metadata.txt or mima_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:50,000 and United States National Map Accuracy Standards features are within (horizontally) 25.4 meters or 83.3 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geologic Map of Cape Cod National Seashore and Vicinity, Massachusetts is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (caco_metadata.txt; available at http://nrdata.nps.gov/caco/nrdata/geology/gis/caco_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (caco_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 19N. That data is within the area of interest of Cape Cod National Seashore.

Note: Sample data provided. ・ Eversource's Hosting Capacity Map shows the maximum amount of energy a distributed resource, like solar panels, can be accommodated on the distribution system at a given location. This datacard is for Eastern Massachusetts.

The Fire Stations layer shows the point locations of 789 Fire stations in the Commonwealth of Massachusetts. The Massachusetts Emergency Management Agency (MEMA) GIS Program in cooperation with the Regional Planning Agencies and participating communities created the data as part of the development of Homeland Security Data Layers.More details...Map service also available.

This map service contains boundaries for the following types of public school districts:Local School - administered by a city or town school committee.Regional Academic - administered by a regional school committee.Regional Vocational Technical - administered by a regional vocational school committee.Independent Vocational and County Agricultural - administered by a board of trustees.Independent Public, including Commonwealth Charter Schools and Horace Mann Charter Schools District information as of December 2, 2014, was obtained from the Massachusetts Department of Elementary and Secondary Education (ESE).For full metadata see https://www.mass.gov/info-details/massgis-data-public-school-districtsFeature service also available.

Eastern Massachusetts (EMA) network

Note: This is a highway subnetwork extracted from the entire EMA network.

Source / History

Via: InverseVIsTraffic

Cost Function

An inverse VI problem, as the inverse problem to the typical traffic assignment problem, was formulated in the following publications. The travel latency cost function was assumed unknown. Based on actual traffic data, the equilibrium flows were inferred and OD demand estimated. Finally, the cost function was estimated as a polynomial function with degree 8 (see EMA_intro.pdf). The data were derived for the PM period of Apr. 2012.

Related Publications

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, and Ioannis Ch. Paschalidis, "***The Price of Anarchy in Transportation Networks by Estimating User Cost Functions from Actual Traffic Data***," Proceedings of the 55th IEEE Conference on Decision and Control, pp. 789-794, December 12-14, 2016, Las Vegas, NV, USA, Invited Session Paper.

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, and Ioannis Ch. Paschalidis, "***Data-driven Estimation of Origin-Destination Demand and User Cost Functions for the Optimization of Transportation Networks***," The 20th World Congress of the International Federation of Automatic Control, July 9-14, 2017, Toulouse, France, accepted as Invited Session Paper. arXiv:1610.09580

Jing Zhang and Ioannis Ch. Paschalidis, "***Data-Driven Estimation of Travel Latency Cost Functions via Inverse Optimization in Multi-Class Transportation Networks***," Proceedings of the 56th IEEE Conference on Decision and Control, December 12-15, 2017, Melbourne, Australia, submitted. arXiv:1703.04010

Jing Zhang, Sepideh Pourazarm, Christos G. Cassandras, and Ioannis Ch. Paschalidis, "***The Price of Anarchy in Transportation Networks: Data-Driven Evaluation and Reduction Strategies***," Proceedings of the IEEE: special issue on "Smart Cities," in preparation.

Scenario

PM perod of Apr. 2012; EMA highway network

Contents

• EMA_net.tntp Network
• EMA_trips.tntp Demand
• EMA_entire.png Map of expanded network
• EMA_highway.jpg Map of EMA highway network
• EMA_intro.pdf Description of network and suggestion for cost function

Dimensions

Zones: 74
Nodes: 74
Links: 258
Trips: 65,576.37543099989

Units

Time: hours
Distance: miles

Generalized Cost Weights

Toll: 0
Distance: 0

The 27 major drainage basins of Massachusetts as defined by the USGS Water Resources Division and the MA Water Resources Commission.Please see https://www.mass.gov/info-details/massgis-data-major-drainage-basins for more details.Map service also available.

Compiled in this map are datasets from and hosted by the Massachusetts Executive Office of Energy and Environmental Affairs, Mass GIS, and the Center for Coastal Studies that focus on public access areas including: public beaches and other recreational space, conservation lands, boat ramps and marinas. Note:Open space continually changes, as explained on the MassGIS webpage, therefore please consider the Protected and Open Space layers as underdevelopment. Additionally, open space parcels are general representations and not a legal record of ownership. The following types of land included in this layer may be privately or publicly owned. Public access categories refer to legal (not physical) levels of public access and includes some areas of limited public access ( by membership only).Definitions for Level of Protection In Perpetuity (P)- Legally protected in perpetuity and recorded as such in a deed or other official document. Land is considered protected in perpetuity if it is owned by the town’s conservation commission or, sometimes, by the water department; if a town has a conservation restriction on the property in perpetuity; if it is owned by one of the state’s conservation agencies (thereby covered by article 97); if it is owned by a non-profit land trust; or if the town received federal or state assistance for the purchase or improvement of the property. Private land is considered protected if it has a deed restriction in perpetuity, if an Agriculture Preservation Restriction has been placed on it, or a Conservation Restriction has been placed on it.Temporary (T) - Legally protected for less than perpetuity (e.g. short term conservation restriction), or temporarily protected through an existing functional use. For example, some water district lands are only temporarily protected while water resource protection is their primary use.These lands could be developed for other uses at the end of their temporary protection or when their functional use is no longer necessary. These lands will revert to unprotected status at a given date unless protection status is extended.Limited (L) - Protected by legal mechanisms other than those above, or protected through functional or traditional use.These lands might be protected by a requirement of a majority municipal vote for any change in status. This designation also includes lands that are likely to remain open space for other reasons (e.g. cemeteries and municipal golf courses).None (N) - Totally unprotected by any legal or functional means. This land is usually privately owned and could be sold without restriction at any time for another use (e.g. scout camps, private golf course, and private woodland).For more information about this open space layer please visit MassGIS Content

The Massachusetts Coastal Zone data layer was compiled by the Massachusetts Office of Coastal Zone Management (CZM) to represent the Massachusetts coastal zone as defined in the October 2011 Massachusetts Office of Coastal Zone Management Policy Guide ("Policy Guide"). Appendix 2 of the Policy Guide contains the most recent description of the official Massachusetts coastal zone and should be used in connection with the following two sources depicting maps of the boundary: (1) the CZM Coastal Atlas (Volume II of the 1977 Massachusetts Coastal Zone Management Program and Draft Environmental Impact Statement) and (2) this data layer developed by CZM to depict the coastal zone in digital map format. This boundary was created per the Federal Coastal Zone Management Act (CZMA) of 1972 (Public Law 92-583, 16 U.S.C. 1451-1456). The boundary description is the specification of the major roads, rail lines, other visible rights-of-way, or coordinates marking the inland boundary of the coastal zone. The actual boundary is 100 feet inland of the landward side of the described line, with the exception of municipal boundaries, where the municipal boundary is the limit of the boundary description. This dataset represents the actual boundary.Please see https://www.mass.gov/info-details/massachusetts-coastal-zone-boundary for more details.\Map service also available.

This data contains leaf mass per area (LMA) map of southeast Asia. For the details of data provision and term of use, please contact us by e-mail.

Humanity’s role in changing the face of the earth is a long-standing concern, as is the human domination of ecosystems. Geologists are debating the introduction of a new geological epoch, the ‘anthropocene’, as humans are ‘overwhelming the great forces of nature’. In this context, the accumulation of artefacts, i.e., human-made physical objects, is a pervasive phenomenon. Variously dubbed ‘manufactured capital’, ‘technomass’, ‘human-made mass’, ‘in-use stocks’ or ‘socioeconomic material stocks’, they have become a major focus of sustainability sciences in the last decade. Globally, the mass of socioeconomic material stocks now exceeds 10e14 kg, which is roughly equal to the dry-matter equivalent of all biomass on earth. It is doubling roughly every 20 years, almost perfectly in line with ‘real’ (i.e. inflation-adjusted) GDP. In terms of mass, buildings and infrastructures (here collectively called ‘built structures’) represent the overwhelming majority of all socioeconomic material stocks.

This dataset features a detailed map of material stocks in the CONUS on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors.

Spatial extent This subdataset covers the North East CONUS, i.e.

CT

DC

DE

MA

MD

ME

NH

NJ

NY

PA

RI

VA

For the remaining CONUS, see the related identifiers.

Temporal extent The map is representative for ca. 2018.

Data format The data are organized by states. Within each state, data are split into 100km x 100km tiles (EQUI7 grid), and mosaics are provided.

Within each tile, images for area, volume, and mass at 10m spatial resolution are provided. Units are m², m³, and t, respectively. Each metric is split into buildings, other, rail and street (note: In the paper, other, rail, and street stocks are subsumed to mobility infrastructure). Each category is further split into subcategories (e.g. building types).

Additionally, a grand total of all stocks is provided at multiple spatial resolutions and units, i.e.

t at 10m x 10m

kt at 100m x 100m

Mt at 1km x 1km

Gt at 10km x 10km

For each state, mosaics of all above-described data are provided in GDAL VRT format, which can readily be opened in most Geographic Information Systems. File paths are relative, i.e. DO NOT change the file structure or file naming.

Additionally, the grand total mass per state is tabulated for each county in mass_grand_total_t_10m2.tif.csv. County FIPS code and the ID in this table can be related via FIPS-dictionary_ENLOCALE.csv.

Material layers Note that material-specific layers are not included in this repository because of upload limits. Only the totals are provided (i.e. the sum over all materials). However, these can easily be derived by re-applying the material intensity factors from (see related identifiers):

A. Baumgart, D. Virág, D. Frantz, F. Schug, D. Wiedenhofer, Material intensity factors for buildings, roads and rail-based infrastructure in the United States. Zenodo (2022), doi:10.5281/zenodo.5045337.

Further information For further information, please see the publication. A web-visualization of this dataset is available here. Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.

Publication D. Frantz, F. Schug, D. Wiedenhofer, A. Baumgart, D. Virág, S. Cooper, C. Gomez-Medina, F. Lehmann, T. Udelhoven, S. van der Linden, P. Hostert, H. Haberl. Weighing the US Economy: Map of Built Structures Unveils Patterns in Human-Dominated Landscapes. In prep

Funding This research was primarly funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950). Workflow development was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—Project-ID 414984028-SFB 1404.

Acknowledgments We thank the European Space Agency and the European Commission for freely and openly sharing Sentinel imagery; USGS for the National Land Cover Database; Microsoft for Building Footprints; Geofabrik and all contributors for OpenStreetMap.This dataset was partly produced on EODC - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC.