The integration of AutoCAD, Civil 3D, digital models (Revit), and ArcGIS Pro combines the strengths of each system. This unified approach links together detailed design, building intelligence, and geographic context. Integrations in these areas address the increasingly complex demands of built projects, where environmental, spatial, and infrastructural factors are interconnected. Federating multiple sources of project data ensures that designs and physical infrastructure are contextually aligned with real-world environments, considering geographic constraints and environmental factors. A unified workflow in which project data authored in AutoCAD, Civil 3D, and Revit are geolocated improves communication and collaboration across project teams and organizations. Architects, engineers, urban planners, and other stakeholders gain access to centralized, interoperable project data. Software This article applies to the following software: • AutoCAD 2022 to 2025 • Civil 3D 2022 to 2025 • Revit 2022 to 2025

This dataset has been deprecated. Please use our 2017 Countywide Contours instead.These data comprise of one foot contours showing the elevation of Lake County, IL corresponding to the orthometric heights of the bare surface of the county (no buildings or vegetation cover). These data were developed from LIDAR data obtained between April 16, 2007 and May 07, 2007, and further supplemented by break lines collected from aerial photography taken at the same time. The contours and the aerial photography meet National Map Accuracy Standards for a 1 inch = 100 foot product. The contours have been created to be cartographically pleasing, as such some generalization has been introduced as expected. The contours have been tested against the original LIDAR points and conforms to the American Society for Photogrammetry and Remote Sensing (ASPRS) Specifications and Standards Committee, 1990, ASPRS Accuracy Standards for Large-Scale Maps, CLASS 1 map accuracy. The vertical datum is the North American Vertical Datum of 1988. The U.S. Army Corps of Engineers Engineering and Design Manual for Photogrammetric Production recommends that data intended for this usage scale be used for any of the following purposes: route location, preliminary alignment and design, preliminary project planning, hydraulic sections, rough earthwork estimates, or high-gradient terrain / low unit cost earthwork excavation estimates. The manual does not recommend that these data be used for final design, excavation and grading plans, earthwork computations for bid estimates or contract measurement and payment. Contour data is used by county agencies to study drainage issues such as flooding and erosion. Customers interested in the actual LiDAR data may download it at no cost from the USGS Center for LiDAR Information Coordination and Knowledge. These files are tiled by PLSS section and grouped by township and format for easier download. Please note that this dataset is available in for GIS in Esri shapefile format as well as for CAD in AutoCAD DWG and MicroStation DGN. We are unable to provide any support for CAD users beyond providing the data.

Select Aggregate Planimetric CAD Vectors from set of 2001-2019 Community Profile AutoCAD files - Initial release version Oct 26, 2023This is an AGOL-hosted Feature Service - hence text point labels only display horizontallySee these related Services (circa Oct 2023):DCRA Community Profile Availability and Map Sheet Outlines with PDF Maps as downloadable attachmentsDCRA Community Profile Aerial Imagery (Community Hi-Res Scale)DCRA Community Profile Aerial Imagery (Community General Area Low-Res Scale)State of Alaska Maxar RGB Satellite ImageryHigh Level Documentation as a PowerPoint Presentation in PDF form

Maine 2021 SID image Generation 3 for use in AutoCad. Download size is 972.1 MB.

Alaska Railroad centerline data compiled from a GPS survey by Mullikin Surveys in 2005. Data was delivered to MSB GIS by ARR as a series of AutoCAD dwg files that were merged into a single GDB format and then published as shapefile. MSB GIS added a couple of older abandoned centerlines in the Palmer area that are sometimes needed for maps.

Internal view of the parcel layer. This view contains all the attributes that can be seen by County employees.There are approximately 51,300 real property parcels in Napa County. Parcels delineate the approximate boundaries of property ownership as described in Napa County deeds, filed maps, and other source documents. GIS parcel boundaries are maintained by the Information Technology Services GIS team. Assessor Parcel Maps are created and maintained by the Assessor Division Mapping Section. Each parcel has an Assessor Parcel Number (APN) that is its unique identifier. The APN is the link to various Napa County databases containing information such as owner name, situs address, property value, land use, zoning, flood data, and other related information. Data for this map service is sourced from the Napa County Parcels dataset which is updated nightly with any recent changes made by the mapping team. There may at times be a delay between when a document is recorded and when the new parcel boundary configuration and corresponding information is available in the online GIS parcel viewer.From 1850 to early 1900s assessor staff wrote the name of the property owner and the property value on map pages. They began using larger maps, called “tank maps” because of the large steel cabinet they were kept in, organized by school district (before unification) on which names and values were written. In the 1920s, the assessor kept large books of maps by road district on which names were written. In the 1950s, most county assessors contracted with the State Board of Equalization for board staff to draw standardized 11x17 inch maps following the provisions of Assessor Handbook 215. Maps were originally drawn on linen. By the 1980’s Assessor maps were being drawn on mylar rather than linen. In the early 1990s Napa County transitioned from drawing on mylar to creating maps in AutoCAD. When GIS arrived in Napa County in the mid-1990s, the AutoCAD images were copied over into the GIS parcel layer. Sidwell, an independent consultant, was then contracted by the Assessor’s Office to convert these APN files into the current seamless ArcGIS parcel fabric for the entire County. Beginning with the 2024-2025 assessment roll, the maps are being drawn directly in the parcel fabric layer.Parcels in the GIS parcel fabric are drawn according to the legal description using coordinate geometry (COGO) drawing tools and various reference data such as Public Lands Survey section boundaries and road centerlines. The legal descriptions are not defined by the GIS parcel fabric. Any changes made in the GIS parcel fabric via official records, filed maps, and other source documents are uploaded overnight. There is always at least a 6-month delay between when a document is recorded and when the new parcel configuration and corresponding information is available in the online parcel viewer for search or download.Parcel boundary accuracy can vary significantly, with errors ranging from a few feet to several hundred feet. These distortions are caused by several factors such as: the map projection - the error derived when a spherical coordinate system model is projected into a planar coordinate system using the local projected coordinate system; and the ground to grid conversion - the distortion between ground survey measurements and the virtual grid measurements. The aim of the parcel fabric is to construct a visual interpretation that is adequate for basic geographic understanding. This digital data is intended for illustration and demonstration purposes only and is not considered a legal resource, nor legally authoritative.SFAP & CFAP DISCLAIMER: Per the California Code, RTC 606. some legal parcels may have been combined for assessment purposes (CFAP) or separated for assessment purposes (SFAP) into multiple parcels for a variety of tax assessment reasons. SFAP and CFAP parcels are assigned their own APN number and primarily result from a parcel being split by a tax rate area boundary, due to a recorded land use lease, or by request of the property owner. Assessor parcel (APN) maps reflect when parcels have been separated or combined for assessment purposes, and are one legal entity. The goal of the GIS parcel fabric data is to distinguish the SFAP and CFAP parcel configurations from the legal configurations, to convey the legal parcel configurations. This workflow is in progress. Please be advised that while we endeavor to restore SFAP and CFAP parcels back to their legal configurations in the primary parcel fabric layer, SFAP and CFAP parcels may be distributed throughout the dataset. Parcels that have been restored to their legal configurations, do not reflect the SFAP or CFAP parcel configurations that correspond to the current property tax delineations. We intend for parcel reports and parcel data to capture when a parcel has been separated or combined for assessment purposes, however in some cases, information may not be available in GIS for the SFAP/CFAP status of a parcel configuration shown. For help or questions regarding a parcel’s SFAP/CFAP status, or property survey data, please visit Napa County’s Surveying Services or Property Mapping Information. For more information you can visit our website: When a Parcel is Not a Parcel | Napa County, CA

Property lines mapped as parcel polygons within Langley Township. The data includes the following information: Folio, PID, and civic address of existing parcels Description The Township uses two survey systems. The first was 1859 District Lot system which still describes many properties near the Fraser River. The District Lot system was superseded in 1873 with the New Westminster Township Section system which covers the bulk of the municipality and is used to the present day. The cadastral data set originated as hand drawn township-section maps in imperial scales. The lot lines were compiled from historical community maps, registered legal plans surveyed with astronomic bearings and legal descriptions where no surveys exist.

In the late 1970’s the Township's maps were converted to metric scales and all dimension annotation was converted manually to metric. In 1982 parcels BC GAS manually digitized the hand drawn township-section maps and assembled them into a single continuous cadastral fabric encompassing the entire township. The lot line data was rubber sheeted to fit the higher accuracy mapping of neighbouring municipalities, no interior control points were used. In 1983 Langley Township obtains BC GAS Intergraph format lot line data and translated it into Terrasoft format for the Township's GIS.In 1986 the lot lines were converted to parcel polygons linked to BCAA folio numbers and Tempest. In 1987 map annotation was converted to digital. In 1999 the GIS data was converted from Terrasoft to AutoCAD Map format. In 2000 the digital base was again rubber sheeted with a township wide grid pattern of survey monuments used for control. In 2003 lot links were converted from BCAA folio numbers to Township property numbers. In 2004 GIS data is converted from AutoCAD Map format to Munsys Oracle format. In 2005 Langley Township adopts DIGITAL LEGAL SURVEY PLAN STANDARDS and new cadastral is entered directly from high accuracy UTM projected surveys. In 2009 GIS data was converted from Munsys Oracle format to ESRI ArcSDE format.

The geometry of parcels were created by Carver County's Survey department using COGO in an AutoCad environment. The AutoCad lines have been imported into a ArcGIS Geodatabase and polygons built. These polygons are attributed with a Parcel Identification Number (PID). The GIS polygons are joined by PID to the Assessor's CAMA system and Taxpayer Services tax database to show attributes of the property.

The GIS data maintained by HPPM includes information on buildings and grounds related to Harvard University. Our "standard" base layers are available to Harvard affiliates and their service providers (for example, architects) working on Harvard projects in AutoCAD DWG, ESRI SHP or File Geodatabase format. Additional datasets are sometimes available by special arrangement. http://home.hppm.harvard.edu/pages/gis-data-layers

The urban planning app market, valued at $76.9 million in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 7.3% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of digital technologies by urban planning professionals and government agencies is a primary driver. These apps streamline workflows, improve collaboration, and enable data-driven decision-making, leading to more efficient and effective urban development. Furthermore, the rising need for sustainable urban planning and the growing popularity of citizen engagement initiatives are contributing to market growth. Smart city initiatives, requiring advanced data analysis and visualization capabilities, significantly boost demand for sophisticated urban planning applications. The market segmentation reveals a strong preference for iOS and Android platforms across both large enterprises and SMEs, indicating broad accessibility and user adoption. Geographical expansion is also a prominent trend, with North America currently holding a significant market share, but strong growth potential observed in rapidly developing economies of Asia-Pacific and parts of Europe and South America. The competitive landscape is characterized by a mix of established players and emerging innovative companies. Established GIS software providers are adapting their offerings, while numerous specialized startups focus on niche segments like 3D city modeling or citizen participation tools. Market restraints include the need for high-quality data and robust internet connectivity, particularly in developing regions. The integration of various data sources and technologies, like AI and machine learning, remains a challenge, requiring significant investment and expertise. Overcoming these challenges will be key to unlocking the full potential of the urban planning app market and further accelerating its growth trajectory. Future growth will be influenced by factors such as advancements in mobile technology, increasing availability of high-quality geospatial data, and governmental support for digital transformation in urban planning.

For downloading additional formats including AutoCAD, File geodatabase, please click here

View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.Common Data Layer: Common data layer created from a read only view from this feature layer. It is owned by SDOT Transportation account and will be made available in Open Data.Refresh Cycle: None, Dynamic via AutoCAD updatesChannelization data consists of the following layers:Vertical ElementsLane WidthsPanel MarkingsLongitudinal MarkingsTransverse MarkingsLegend and SymbolsGeneral Background

Download Amherst GIS 2009 Topo data in the following formats:ESRI File Geodatabase (.gdb)ESRI Shapefile (.shp)AutoCAD DWGAutoCAD DXFMicrostation DGNRaster (image) layers can be downloaded in several different formats as well.Available topography data includes the following large datasets which are best extracted over small areas:Elevation PointsElevation Contour Text Annotations1' Interval Elevation ContoursElevation Model Image (8' pixels)Hillshading Image (8' pixels)The extent of this data includes the entire project area of the Amherst April 2009 LiDAR flight, including all of Amherst as well as portions of Hadley, Sunderland, Leverett, Shutesbury, Pelham & Belchertown. The LiDAR data can be downloaded as tiles via the Amherst Orthophoto & LiDAR Data Download App.

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This zip file contains information on how to connect to an imagery service (WMS) using either AutoCAD or Microstation and consume 2021 imagery of Johns Creek, GA.

CDFW BIOS GIS Dataset, Contact: Greg Benoit, Description: Polygon versions of the terrestrial CZB with a generalized shoreline (USGS 1:24,000 Quadrangle shoreline heads up digitized at 1:3000) and with a more detailed shoreline that includes most bays and estuaries. It was digitized within AutoCAD from the Commission's certified Coastal Zone Boundary hard copy maps. The files were then imported into ArcView, and merged together following Commission jurisdictional boundaries (North Coast, North Central Coast, Central Coast, South Central Coast, South

For downloading additional formats including AutoCAD, File geodatabase, please click here

View of Channelization data represents roadway paint lines, curbs, and other markings that delineate traffic lanes, bike routes, bus zones, etc. which are critical for public safety.

For downloading additional formats including AutoCAD, File geodatabase, please click here

For downloading additional formats including AutoCAD, File geodatabase, please click here