This layer delineates the area being put forward in one of three types of applications to the Long Range Planning Division of the Planning department. CUP - Conditional Use Permit, HOP - Home Occupation Permit, and SP - Sketch Plat. These are all applications which require approval from the Planning Commission (HOP) and the Board of Commissioners (CUP, SP). Please see the Long Range Planning web page on the Forsyth County website for details and requirements of these applications.Data is listed by Application number, other data included is approval status

Kims Draw Layer as of 3/25/25

A sketch of model components related to boundary-layer hydrodynamics.

Kims Draw Layer as of 3/25/25

Information layer of the Topographic Database of the Province of Lodi. Linear geographical information layer of drawing and dressing.

The Unpublished Digital Geologic-GIS Map of the Eagle Draw Quadrangle, North Dakota is composed of GIS data layers and GIS tables in a 10.1 file geodatabase (eadr_geology.gdb), a 10.1 ArcMap (.mxd) map document (eadr_geology.mxd), individual 10.1 layer (.lyr) files for each GIS data layer, an ancillary map information document (thro_geology.pdf.pdf) which contains source map unit descriptions, as well as other source map text, figures and tables, metadata in FGDC text (.txt) and FAQ (.pdf) formats, and a GIS readme file (thro_geology_gis_readme.pdf). Please read the thro_geology_gis_readme.pdf for information pertaining to the proper extraction of the file geodatabase and other map files. To request GIS data in ESRI 10.1 shapefile format contact Stephanie O'Meara (stephanie.omeara@colostate.edu; see contact information below). Presently, a GRI Google Earth KMZ/KML product doesn't exist for this map. 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). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: North Dakota 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 (eadr_geology_metadata.txt or eadr_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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 ArcGIS 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: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data projection is NAD83, UTM Zone 13N. The data is within the area of interest of Theodore Roosevelt National Park.

Use the Exhibit template to create a linear, interactive presentation by authoring a collection of slides to show different views of a map or scene. For each slide, you can change layer visibility and the basemap, include a pop-up for a specific feature, apply a layer filter, and provide a title and notes. If applicable, you can import bookmarks from the map to create slides. Examples: Showcase multiple sites on a map by configuring the app to automatically play through slides. Create a national park map that highlights amenities, showing different layers on each slide. Present a map with sketch layers that pinpoint various elements of the same data. Data requirements The Exhibit template has no data requirements. Key app capabilities Layer visibility and Basemap - Change layer visibility and the basemap for each slide. Include pop-up - Include a pop-up for a selected feature to be open by default on a slide. Slide note - Add a slide title and slide notes with descriptions and images to provide additional context. Each slide can have up to two slide notes, for which you can choose a color and position. (In mobile views, slide notes display on the opposite side of pop-ups.) Attribute filter - Apply a layer filter to emphasize specific features in the map. Control panel options - Provide a play button and turn on the option to automatically play the slideshow when users open the app so they can advance through slides without requiring additional interaction. Allow users to jump to any slide in the app and share the current slide by exporting it as a PDF or copying a direct URL. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

Worcester Atlas is an interactive map viewer developed by the City of Worcester that gives the public access to city map layers and data, including property-specific assessor data.Users can search for property data by address, street, owner, or property ID, turn on/off map layers, get more information about certain layers in map popups, print maps, and more.More information: Visit the Introducing Worcester Atlas data story to get to know more about the City's map viewer.Informing Worcester is the City of Worcester's open data portal where interested parties can obtain public information at no cost.

The hydrogeological layers in DKmodel2019 for modelarea DK3 (Fyn) in ascii format. Description and principle sketch of the hydrostratigraphic units and calculation layers for the DK-model2019 in chapter 3, National Vandressource Model Modelopstilling og kalibrering af DK-model 2019.

The Digital Surficial Geologic Map of the Broadax Draw quadrangle, Washington is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Windows Help File 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: Bureau of Reclamation. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (brdr_metadata.txt; available at http://nrdata.nps.gov/laro/nrdata/geology/gis/brdr_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 (brdr_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 11N. That data is within the area of interest of Lake Roosevelt National Recreation Area.

The Digital Surficial Geologic-GIS Map of the Broadax Draw 7.5' Quadrangle, Washington 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 (brdr_surficial_geology.gdb), and a 2.) Open Geospatial Consortium (OGC) geopackage. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (brdr_surficial_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (brdr_surficial_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). 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.) a readme file (laro_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (laro_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 (brdr_surficial_geology_metadata_faq.pdf). Please read the laro_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. QGIS software is available for free at: https://www.qgis.org/en/site/. 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: 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. Bureau of Reclamation. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (brdr_surficial_geology_metadata.txt or brdr_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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 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).

This layer depicts the status, or degree of disturbance, to plant communities on the main Hawaiian Islands. Several layers were uset to create this version (v 3.4). The original HabQual layer was developed by Jon Price and Jim Jacobi based on the mapped land cover units from the Hawaii GAP analysis program (Gon et al. 2006). This map was revised by combining data on land use and the “Bare” category from the NOAA C-CAP 2005 map (NOAA National Ocean Service Coastal Services Center 2012), and adding road corridors to the heavily disturbed category based on the Tiger Roads layer (United States Census Bureau 2014). Additionally, corrections were made to this version of the map by visually inspecting previously mapped units and comparing them to recent high-resolution imagery including WorldView 2 multi-spectral imagery and to very-high resolution RGB imagery obtained from Pictometry Online (Pictometery International 2014). Changes were made to the map using the program GRID Editor developed by ARIS B.V. (2014) by Jim Jacobi. Latest edits made in September 2014.The starting raster "Habqual" was developed by Jim Jacobi, USGS PIERC. The bare earth category came from NOAA's CCAP dataset and was used to overwrite the original Habqual dataset for categories 2 & 3 (native and mixed). If Habqual was already distrubed (category = 1), then it was NEVER overwritten as bare earth; instead it remained classified as disturbed. Lastly, the TIGER roads layer was buffered and converted into a raster of category 1 (distrubed). The roads raster was then mosaic'ed on top of Habqual to expand the distrubed class to include roads & adjacent disturbed areas.This layer has four mapped values: 1 = heavily disturbed areas including agriculture and urban developments; 2 = mixed native-alien dominated plant communities; 3 = native dominated vegetation; and 4 = bare lands or <5% plant cover.ReferencesARIS B.V. 2014, GRID Editor for ArcMap. ARIS B.V., Netherlands. https://www.aris.nl/index.php?option=comcontent&view=article&id=68&Itemid=211Gon, S. M., III, A. Allison, R. J. Cannarella, J. D. Jacobi, K. Y. Kaneshiro, M. H. Kido, M. Lane-Kamahele, and S. E. Miller. 2006. The Hawai‘i GAP Analysis Final Report. Report, U.S. Department of Interior, U.S. Geological Survey. 162 p plus tables, figures, maps, and appendices.NOAA National Ocean Service Coastal Services Center. 2012. C-CAP Hawaii 2005 Land Cover Map. NOAA's Ocean Service, Coastal Services Center, Charleston, SC USA. https://www.csc.noaa.gov/digitalcoast/data/ccapregional. Pictometery International. 2014, Pictometry Online. Pictometry International Corp., Rochester NY. https://www.pictometry.com/index.php?option=comcontent&view=article&id=84&Itemid=93United States Census Bureau. 2014, TIGER/Line Shapefiles and TIGER/Line Files. U.S. Department of Commerce. https://www.census.gov/geo/maps-data/data/tiger-line.html. For more information, please see complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/cahhabitatstatus_poly.html or contact the Hawaii Statewide GIS Program at gis@hawaii.gov.

Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

See the Splitgraph documentation for more information.

The hydrogeological layers in DKmodel2019 for modelarea DK7 (Bornholm) in ascii format. Description and principle sketch of the hydrostratigraphic units and calculation layers for the DK-model2019 in chapter 3, National Vandressource Model Modelopstilling og kalibrering af DK-model 2019.

Polygons and surfaces representing the extent of sidewalks on the territory of the city of Saint-Hyacinthe. Technical drawing layer that does not represent the pedestrian network, but rather the sidewalk area. Collection context Technical drawing by civil engineering technicians. Collection by project from design plans or plans as built. Collection method Computer-aided technical drawings. Attributes * ID_TROTTOIR_S (integer): Identifier * PRIVE (varchar): Property * TYPE (varchar): Type * ODO_INDEX_LONG (varchar): Long odonym index (varchar): Type * ODO_INDEX_LONG (varchar): Type * ODO_INDEX_LONG (varchar): Type * ODO_INDEX_LONG (varchar): Type * ODO_INDEX_LONG (varchar): Type * ODO_INDEX_LONG (varchar): Type * ODO_INDEX_LONG (varchar) _COMPLETE(varchar): Full long odonym *ODO_COURT_FULL(varchar): Short odonym (varchar): Odonym * COATING (nchar): Coating * COURT_FULL (nchar): Coating * ANNEE_INSTALL (nchar): Length * WIDTH (numeric): Width * AREA (numeric): Area * LOCATION (varchar): Location * NOTES (nvarchar): Notes * SOURCE (varchar): Source * DATE_CREATION (smalldatetime): Created date * DATE_MODIFICATION (DATE_MODIFICATION): Modified by For more information, consult the metadata on the Isogeo catalog (OpenCatalog link).**This third party metadata element was translated using an automated translation tool (Amazon Translate).**

This centreline layer depicts the presence of rail and hydro utility lines (CN Rail, CP Rail, Hydro) within the City of Niagara Falls. Attributes include Name, ID, and length in metres.

3D Drawing Doodle Printing Pen Market Outlook

The global market size for 3D Drawing Doodle Printing Pens was valued at approximately $130 million in 2023 and is expected to reach an estimated $290 million by 2032, growing at a compound annual growth rate (CAGR) of 9.2% during the forecast period. This impressive growth is primarily driven by advancements in technology, increasing popularity among hobbyists, and the growing application of these pens in educational settings.

One of the primary growth factors for the 3D Drawing Doodle Printing Pen market is the continuous advancements in 3D printing technology. Innovations in print head technology and material composition have significantly enhanced the usability and functionality of these pens. Improved user interfaces and ergonomic designs have also made these devices more attractive to a broader audience, including children and educators. As technology continues to evolve, it is expected that these pens will become even more versatile and user-friendly, thereby expanding their market reach further.

Another significant growth driver is the increasing popularity of DIY culture and maker movements, which have significantly impacted the market for 3D Drawing Doodle Printing Pens. These pens are primarily used by hobbyists and enthusiasts who engage in creative projects, ranging from simple doodles to complex three-dimensional structures. The growing community of makers and DIY enthusiasts has led to increased demand for user-friendly and affordable 3D drawing tools. This trend is supported by various online platforms and social media where users share their creations, thereby promoting further interest and adoption.

The educational sector has also emerged as a vital contributor to market growth. 3D Drawing Doodle Printing Pens are increasingly being integrated into curriculums to promote creativity and hands-on learning. These pens help students understand complex subjects better by allowing them to create tangible models. Governments and educational institutions are investing in advanced teaching tools, recognizing the importance of STEM education, which has significantly boosted the market for these pens. With ongoing investments and the growing emphasis on modern education techniques, this sector is poised to drive substantial demand.

Regionally, North America holds the largest share of the 3D Drawing Doodle Printing Pen market, followed closely by Europe and the Asia Pacific. The high adoption rate of advanced technologies and strong presence of key market players in North America are major growth factors. Europe, with its strong focus on education and technological advancements, also shows promising growth. The Asia Pacific region is expected to witness the fastest growth rate due to increasing disposable incomes, expanding middle-class population, and growing interest in educational and DIY activities.

Product Type Analysis

The product type segment in the 3D Drawing Doodle Printing Pen market includes Fused Deposition Modeling (FDM), Stereolithography (SLA), Selective Laser Sintering (SLS), and others. Each of these technologies offers unique advantages and caters to different user needs. Fused Deposition Modeling, being the most widely used technology, dominates the market. Its cost-effectiveness and ease of use make it popular among both hobbyists and professionals. The simplicity of FDM technology, involving the extrusion of thermoplastic filaments, makes it highly accessible to a broad user base, thereby driving significant market adoption.

Stereolithography (SLA) pens, on the other hand, are gaining traction due to their high precision and ability to create detailed models. SLA technology uses a laser to cure liquid resin into hardened plastic, resulting in highly intricate designs. This technology is particularly popular among designers and architects who require high levels of detail and accuracy in their models. Although SLA pens are generally more expensive than FDM pens, their superior output quality justifies the higher cost for professional use.

Selective Laser Sintering (SLS) technology is also witnessing growing interest, primarily in commercial applications. SLS utilizes a laser to fuse powdered material layer by layer, creating strong and durable objects. This technology is highly suitable for creating complex and functional prototypes, making it popular in industrial and commercial settings. While SLS pens are less common compared to FDM and SLA, they offer unique benefits that cater to specific market needs, thus contributing to market diversity.</p&

Use the Zone Lookup template to allow users to search for an address or use their current location to identify locations that are within a zone or region. With apps created with this template, users can learn more about a location and features of interest in the surrounding area. Grouping results by layer provides an organized view of search results. You can also include the export tool to capture images of the map with the search results. Examples: Facilitate finding hurricane evacuation zones by address in an emergency. Build an app where users can identify schools within a school district, based on a searched address or location. Provide city planning information by zone or area. Data requirements The Zone Lookup template requires a feature layer to use all of its capabilities. Key app capabilities Results - Customize result panel location information with feature attributes from a configured pop-up. Show selected result only - Display the selected result feature in the map while hiding the other features. Attribute filter - Configure map filter options that are available to or added by app users. Sketch a zone - Enable app users to draw a search zone with sketch tools, including buffer capabilities. Export - Print or export the search results or selected features as a .pdf, .jpg, or .png file that includes the pop-up content of returned features and an option to include the map. Additionally, download the search results as a .csv file. Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

This service provides data for the INSPIRE topic Production and industrial plants IED.:This layer visualizes the saarl. Production and industrial plants on the subject of cold drawing of wire. The data basis complies with the INSPIRE data specification.

The hydrogeological layers in DKmodel2019 for modelarea DK1 and DK2 (Sjælland and øerne) in ascii format. Description and principle sketch of the hydrostratigraphic units and calculation layers for the DK-model2019 in chapter 3, National Vandressource Model Modelopstilling og kalibrering af DK-model 2019.