In this seminar, you will learn how to use Collector for ArcGIS to download maps, create new GIS features, as well as update existing ones when disconnected from the Internet, and then synchronize changes back to the office when you are connected. In addition, you will learn how to create maps and publish services for devices.This seminar was developed to support the following:Collector for ArcGIS (Android) 10.2Collector for ArcGIS (iOS) 10.2

In this seminar, the presenters will introduce essential concepts of Collector for ArcGIS and show how this app integrates with other components of the ArcGIS platform to provide a seamless data management workflow. You will also learn how anyone in your organization can easily capture and update data in the field, right from their smartphone or tablet.This seminar was developed to support the following:ArcGIS Desktop 10.2.2 (Basic)ArcGIS OnlineCollector for ArcGIS (Android) 10.4Collector for ArcGIS (iOS) 10.4Collector for ArcGIS (Windows) 10.4

In this seminar, you will learn how to equip field workers with easy-to-use maps that run on a smartphone or tablet using Collector for ArcGIS, an app included with an ArcGIS Online organizational subscriptions or Portal for ArcGIS. You will see how the maps are used to collect accurate data in the field-even when access to a WiFi connection or cellular service is not available-and quickly share data updates with the organization when connected. You will learn how to help your organization reduce errors, increase productivity, and improve data quality by replacing paper-based workflows with maps that feature data-driven, intelligent forms.This seminar was developed to support the following:ArcGIS OnlineArcGIS Online Organizational AccountUser role or equivalentCollector for ArcGIS (Android) 10.4Collector for ArcGIS (iOS) 10.4Collector for ArcGIS (Windows) 10.4

Find a Sales and Use Tax Rate

The global urban planning apps market, valued at $76.9 million in 2025, is projected to experience robust growth, driven by increasing urbanization, the need for efficient resource management, and the rising adoption of digital technologies in urban planning. A Compound Annual Growth Rate (CAGR) of 7.3% from 2025 to 2033 suggests a significant market expansion. Key drivers include the need for sustainable urban development, improved citizen engagement through participatory planning platforms, and the ability of these apps to streamline complex processes like zoning and permitting. Trends like the integration of advanced analytics (e.g., predictive modeling for infrastructure needs), the incorporation of 3D visualization for better stakeholder communication, and the growing use of mobile-first solutions are further fueling market growth. While the market faces restraints such as data security concerns and the need for robust digital infrastructure in certain regions, the overall growth trajectory remains positive. The market segmentation reveals strong demand from both large enterprises and SMEs, with iOS and Android platforms dominating the app landscape. The regional breakdown shows significant market potential across North America and Europe, with emerging markets in Asia Pacific also contributing to the overall growth. The competitive landscape is dynamic, featuring established players like Esri (ArcGIS Collector) and Autodesk (AutoCAD 360) alongside innovative startups offering specialized solutions. The continued advancement of mobile technologies, coupled with increasing government initiatives promoting smart city development, will significantly impact market growth. The rising availability of high-quality geospatial data, and the integration of artificial intelligence (AI) and machine learning (ML) for optimizing urban planning processes, are poised to transform the industry. The focus on creating user-friendly interfaces that cater to various stakeholders, from planners to citizens, will be critical in ensuring broader adoption. Furthermore, collaborations between technology companies and urban planning agencies will be instrumental in driving innovation and accelerating market expansion. The market's future hinges on the successful integration of technology with established urban planning practices, creating a more efficient, sustainable, and participatory urban development process.

Shows the location of all blazed and unblazed trails in all Allegheny County parks. This is the same data used in the Allegheny County Parks Trails Mobile App, available for Apple and Android devices. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Recreation Organization: Allegheny County Department: Parks Department Temporal Coverage: present Data Notes: Coordinate System: Pennsylvania State Plane South Zone 3702; U.S. Survey Foot Development Notes: none Other: none Related Document(s): Data Dictionary: none Frequency - Data Change: As needed Frequency - Publishing: As needed Data Steward Name: Eli Thomas Data Steward Email: gishelp@alleghenycounty.us

People use mobile apps for a lot of their daily activities, and many organizations want to take advantage of this convenience. However, it can be a challenge to create targeted apps if that organization does not have a team of developers.AppStudio for ArcGIS allows you to quickly create native apps that use GIS content, such as web maps, Map Tours, and editable map layers, without writing a single line of code. One app that you create can then be deployed on multiple platforms—including iOS and Android—and this course will quickly show you how to do just that.After completing this course, you will be able to perform the following tasks:List template features for creating apps with AppStudio for ArcGIS.Choose a template based on your app requirements.Use a template to configure GIS resources, branding, and metadata for your app.Use AppStudio Player for ArcGIS to preview and test your app.

This dataset contains mobile wireless download speed test results and areas where the PSD (Vermont Public Service Department) challenged mobile wireless service asserted by wireless carriers.DOWNLOAD SPEED TEST RESULTSResults from download speed tests that were conducted in September-December 2018 are contained by 6 point feature-classes, each with results for a particular carrier.PSD staff employed the android smartphone application G-NetTrack to conduct download speed tests at approximately 300 meter intervals along all federal-aid highways.The point feature-classes are very detailed and more suitable when zoomed into the neighborhood scale. All point feature-classes have the same field schema, which includes these fields: timestamp: Date and time at which the data point was collected. signal_str: Signal strength (RSRP in dBm). download_s: Download speed (in Mbps). latency: The round-trip time for a request to a website, in milliseconds.DRIVE-TEST BLOCKSDrive-test blocks (Utility_DriveTest_poly_Blocks) is a polygon feature-class that is composed of 1-kilometer blocks; it has a field for each of the 6 carriers; the fields show the average download speed recorded in each block for each carrier.The fields also include a composite field (All_) that contains averages of all carriers, masking variation in coverage between individual carriers. "999" indicates no test was conducted for the carrier in that block.Drive-test blocks are generalized information and are suitable when zoomed at various scales. A BLOCK DOES NOT INDICATE SERVICE THROUGHOUT A BLOCK; use the point feature-classes for detailed data and judge accordingly.WIRELESS CHALLENGE BLOCKSWireless Challenge Blocks (Utility_DriveTest_poly_VTMFCIIChallengeBlocks) depicts the status of each block in the submission of the PSD in the FCC Mobility Fund Phase II Challenge process. It shows challenges to mobile wireless service asserted by wireless carriersA value of 0 in the Area_1 field indicates that the challenge was rejected, either because a) the block is already largely eligible, or b) because no tests below 5 Mbps were submitted.DISCLAIMERVCGI and the State of VT make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.

Configure the Map Tour template to show a feature photo tour in a native app that will run on your chosen device. Nominate either a single web map, a map gallery query, or an existing web based story map tour to create your app. Add your own branding – icons, colors and images – to make the Map Tour app your own. Windows, Android, iOS, Mac and Linux apps can be generated from this template. For more information on configuring this app, see the Map Tour documentation.

The Geographic Information System (GIS) market is experiencing robust growth, driven by increasing adoption across diverse sectors. The market, estimated at $25 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 8%. Key drivers include the rising demand for location-based services, the increasing use of GIS in urban planning and smart city initiatives, and the proliferation of readily available geospatial data. Furthermore, advancements in cloud computing, artificial intelligence, and big data analytics are enhancing GIS capabilities, leading to wider applications in environmental monitoring, disaster management, and precision agriculture. The government and utilities sector remains a dominant market segment, followed by the business sector, which is rapidly adopting GIS solutions for operational efficiency and strategic decision-making. Android-based GIS systems are currently the most prevalent, reflecting the widespread use of Android devices, although iOS and Windows-based systems maintain significant market shares. Competitive landscape analysis reveals key players such as Environmental Systems Research Institute (Esri), Hexagon, Pitney Bowes, and SuperMap actively innovating and expanding their market presence through strategic partnerships and technological advancements. Regional variations in market growth are expected, with North America and Europe maintaining leading positions due to high technological adoption rates and robust economies. However, Asia-Pacific is projected to witness the fastest growth in the coming years, driven by rapid urbanization, economic development, and increasing government investments in infrastructure projects. Restraints to market growth include the high initial investment costs associated with implementing GIS solutions and the need for specialized technical expertise. Nevertheless, the long-term benefits of GIS, encompassing improved efficiency, better decision-making, and enhanced resource management, are expected to overcome these barriers, resulting in sustained market expansion throughout the forecast period. The continuous development of user-friendly GIS software and services is further expected to fuel broader adoption across diverse user groups.

Maas Madrid. Aplicación oficial de EMT Madrid para conocer los servicios de movilidad sostenible disponibles en tiempo real en Madrid. Incorpora la información disponible del transporte público y de los servicios de movilidad compartida adheridos y redirige a las aplicaciones de cada uno de ellos para completar la reserva. Permite configurarlo en función de las preferencias, por modo o por operador.

This dataset provides global fixed broadband and mobile (cellular) network performance metrics in zoom level 16 web mercator tiles (approximately 610.8 meters by 610.8 meters at the equator). Data is projected in EPSG:4326. Download speed, upload speed, and latency are collected via the Speedtest by Ookla applications for Android and iOS and averaged for each tile. Measurements are filtered to results containing GPS-quality location accuracy. The data was processed and published to ArcGIS Living Atlas by Esri and is inclusive of the Q1 2025 data download.

The Nearby template provides a simple native app experience to discover what’s nearby, and includes filters to narrow your search by distance or feature category. Start by creating an Nearby web application and then add your own branding – icons, colors, and splash screen images – to make the Nearby native app your own. Use this template to create mobile apps (iOS, Android) that can be published to the Apple App Store and Google Play Store; or distributed in your others in your organization. Builds build for Windows, Mac, and Linux can also be generated from this template. For more information on configuring this app, see the Nearby documentation.

App permite un guiado hasta la estación de carga elegida así como acceder al historial de recargas y facturas. El servicio parte de una tarifa de 0,40 euros/Kw en Colón y 0,35 euros/Kw en aparcamientos.

The Attachment Viewer template provides a simple experience to review locations, feature information, and media attachments in a native app. Start by creating an Attachment Viewer web application and then add your own branding – icons, colors, and splash screen images – to make the Attachment Viewer native app your own. Use this template to create mobile apps (iOS, Android) that can be published to the Apple App Store and Google Play Store; or distributed in your others in your organization. Builds build for Windows, Mac, and Linux can also be generated from this template. For more information on configuring this app, see the Attachment Viewer documentation.

Geologisk kart over Svalbard (1:250 000).

https://api.npolar.no/dataset/eafafbb7-b3df-4c71-a2df-316e80a7992e/_file/daf3eeae9d3aeb5bdf9a2b9f86ba8bab?key=8ee185b7c7f70470041e8801b3451517+Uyhjrqc9jddVIG52JAZO6t00BYN7eakD" alt="Mobilkart i felt">

Sammendrag (for English see below)

Dette geologiske kartet fra Norsk Polarinstitutt har blitt produsert med tanke på å brukes på smart-telefon, nettbrett eller PC uten nett-tilkobling, for eksempel til feltarbeid eller som et hendig oppslags-kart. Kartet består av 5 raster-filer i GIS-formatet JPEG2000 og er tilgjengelig som nedlasting fra datasenteret til Norsk Polarinstitutt

Informasjon om de geologiske enhetene er plassert som tekst-merkelapper direkte i kartbildet, i motsetning til en vanlig tegnforklaring. Ved å zoome inn på kartet finnes informasjon om geologiske enheter, vist med blå tekst (alder i parentes). I tillegg er hvert enhet (farge) merket med en tilsvarende 4-sifret kode i blå skrift.

I felten kan mobile dingser med GPS vise brukeren sin posisjon på kartet. Avhengig av skjermoppløsning er full detaljgrad i kartet synlig på ca. 1:30 000-skala, men kartet kan også vises på mye større skala for å se f.eks. regionale geologiske trekk.

Kartet kan vises på Android eller iOS-enheter med appen "Geoviewer" fra Extensis (tidligere Lizardtech). På datamaskin fungerer QGIS eller ArcMap bra for å vise kartet. Se forklaring på hvordan overføre kartet til din smart-telefon eller nettbrett lenger nede på sida.

Data

Kartet er laget ved å bruke data fra Norsk Polarinstitutt 1:250 000-skala geologiske kart for Svalbard, opprinnelig publisert i "Geoscience Atlas of Svalbard" av Dallmann (ed.) 2015. Dette kartet er generalisert fra 1:100 000-skala kart-data i hovedkartserien til Norsk Polarinstitutt, og er publisert i Geoscience Atlas of Svalbard (Dallmann 2015).

Til å produsere dette kartet er topografiske data fra S100 (topografi, vann) og S250 (kystlinje)-datasettene fra Norsk Polarinstitutt brukt. Fjellskygge er konstruert med S0 Terrengmodell med 20 meter pr. pixel oppløsning. Bre og snøflekk-områder er vist med datasettet for 2001-2010 av König mfl. (2013), som gir et mer oppdatert bilde av blotning-situasjonen nær breer og snøflekker. Områder der geologiske polygoner ikke er justert til nye blotninger er vist i brunt. Kystlinjen er i noen tilfeller endret for å tilpasses bre-fronter som ender i sjøen.

Forbehold om datakvalitet Dette er et nytt geologisk kartprodukt, og det kan forekomme feil. Spesielt tegnforklaring, som er skrevet direkte på geologiske enheter, kan være problematisk i noen områder. Vi er interessert i tilbakemelding på mulige forbedringer av kartet. Send gjerne tilbakemeldinger på e-post til Geokart@npolar.no.

Dette er et geologisk kart ment for å formidle vitenskapelige data, og er ikke egnet for navigasjon. Noen områder av Svalbard er ennå ikke kartlagt i detalj, og en del av dataene er av eldre dato, så datakvaliteten for dette kartet er varierende. Kartet kan inneholde feil i grunnlagsdata, kartpresentasjon, kartografi og tekst-beskrivelser. For en stor del er geologien kartlagt for en mindre detaljert skala enn den det er mulig å oppnå med dette kartproduktet, så geologiske trekk og enheter vil i ulik grad fremstå feilplassert ved bruk av god GPS-posisjon og detaljert zoom-nivå. Breer og spesielt bre-fronter er i konstant forandring, og selv om ganske oppdaterte data er brukt for å lage kartet, vil det være feil i en del bre-posisjoner. Vær oppmerksom på at det topografiske grunnlaget som er brukt her i mange tilfeller er av nyere dato enn det som opprinnelig var brukt under kartleggingen i felt. Dette kan også føre til feil i kartet.

Geologiske kart-data vil kontinuerlig være gjenstand for re-tolkning og endring. For en full beskrivelse av kartleggingsprogrammet ved Norsk Polarinstitutt, geologiske kart-data presentert her og referanser, se Dallmann (ed.) 2015, eller besøk npolar.no

Hvordan overføre kartet til mobilenheter

Direkte nedlasting Kartet kan nå lastes ned direkte til mobilenheten via lenker øverst. Det er 5 linker, en for hvert område. Enten lagres filene på enheten, eller du vil få et valg om å åpne fila direkte i Geoviewer. NB: Sørg for at det er nok ledig lagringsplass på mobilenheten og vær oppmerksom på fil-størrelsen (550 MB), spesielt hvis det er et betalt internett-abonnenement.

Via PC, kabel eller Dropbox:

NP_S250_Geologi_mobilkart kan brukes direkte i GIS-systemer på PC, mens for bruk på nettbrett og mobil anbefales gratis-appen Geoviewer fra Lizardtech.

Etter å ha lastet ned til PC og pakket opp ZIP-filene, kan kartene for Android-enheter eksempelvis overføres til ønsket plassering på enheten via USB-kabel. For iOS-enheter kan en bruke f.eks. nettjenesten Dropbox som kanal fra PC til enhet. Når kartene er lagret på enheten, kan en legge til de kartrutene en ønsker fra menyen i Geoviewer.

Referanser Kartdata Svalbard 1:100 000 (S100 Kartdata) (2014). Norwegian Polar Institute (Tromsø, Norway): https://data.npolar.no/dataset/645336c7-adfe-4d5a-978d-9426fe788ee3

M König, J Kohler, C Nuth (2013). Glacier Area Outlines - Svalbard. Norwegian Polar Institute https://data.npolar.no/dataset/89f430f8-862f-11e2-8036-005056ad0004

Dallmann, W.K., (ed.) (2015). Geoscience Atlas of Svalbard, Norsk Polarinstitutt Rapportserie nr. 148

Terrengmodell Svalbard (S0 Terrengmodell) (2014). Norwegian Polar Institute (Tromsø, Norway): https://data.npolar.no/dataset/dce53a47-c726-4845-85c3-a65b46fe2fea

English

Geological map of Svalbard (1:250 000).

Abstract This geological map from the Norwegian Polar Institute has been prepared to be used offline on a smartphone, tablet or computer, for example for field work or a handy reference. It consists of 5 raster-files in the JPEG2000 GIS-format, available to download from the Norwegian Polar Institute data centre data.npolar.no via https://data.npolar.no/dataset/eafafbb7-b3df-4c71-a2df-316e80a7992e/.

Information about the geological units has been placed as text labels (in blue typescript) directly on the map, as opposed to a regular legend. By zooming in, information about each geological unit on the map can be found, shown in blue text (age in parentheses). In addition, each unit is labelled with a corresponding 4-digit code also in blue typescript.

In the field, GPS-enabled devices can show the user's location on the map. Depending on screen resolution, full detail of the map (including text labels) is best viewed at ca. 1:30 000 scale, but the map can also be viewed at much larger scales to see e.g. regional geological features.

For mobile use, the app "Geoviewer" from Extensis (formerly Lizardtech) can be used. On a computer, QGIS works well to view these maps. See an explanation below on how to transfer the map to your tablet or smartphone.

Data

The map is made using data from the Norwegian Polar Institute 1:250 000-scale geological map for Svalbard, originally published in Dallmann (ed.) 2015. This geological map has been generalised from the 1:100 000-scale main map series published by the Norwegian Polar Institute, and is published in Geoscience Atlas of Svalbard (Dallmann 2015).

For the purpose of this map product, topographic data from the Norwegian Polar Institute S100 Map (topography, water) and S250 (coastline) data sets have been used. Hill shade was created using the NPI S0 Terrengmodell at 20 meters/pixel resolution. Glacier and snow patch outlines are shown using the 2001-2010 dataset of glacier area outlines for Svalbard by König et al. (2013), which gives a more up to date picture of the outcrop situation near glaciers or snow patches. Areas where geology polygons have not been re-adjusted to the new outcrops are shown in brown. The coast line-data has been adjusted in some cases to adapt to glacier fronts ending in the sea.

Disclaimer This is a new geological map product, and errors may occur. In particular the legend, which have been printed directly on the geological units, can be problematic in places. We appreciate feedback on the map that can be used to improve the map in future versions. Please email feedback to Geokart@npolar.no.

This is a geological map meant to convey scientific data, and is not suited for navigation. This map product may contain errors in base data, map presentation, cartography and text descriptions. Much of the geology was originally mapped for a less detailed scale than what is possible to obtain with this map, so geological features will to varying degrees appear out-of place when a good GPS-position and detailed zoom level is used. Glaciers and in particular glaciers fronts are dynamic features, and although using fairly up-to-date data, this map does contain errors in glacier front positions. Note that the topographic base data used here in many cases is of a newer vintage than the data originally used for geological mapping in the field. This may cause some errors in the map. Some areas of Svalbard have not yet been mapped in detail and some of the data are of older origin, so the data quality presented on this map is variable.

Geological map data will be subject to continual re-interpretation and editing. For a full description of the bedrock mapping programme at the Norwegian Polar Institute, the geological map data presented here and

Configure the Quick Report template to create a citizen engagement native app that allows you to capture an observation and submit it to an online service. Nominate a publicly shared or secured point, polyline, or polygon feature service where your citizen created features will be saved to. Add your own branding – icons, colors and splash screen images – to make the Quick Report app your own. Windows, Android, iOS, Mac and Linux apps can be generated from this template. For more information on configuring this app, see the Quick Report documentation.

Group for Tiled Base Maps available for public distribution. This group contains authoritative maps that are not for sale that can be made available for public distribution. This group is used by S1 Mobile for Android in public mode to provide maps to the public.How to Side Load Base Maps:Android UsersiOS Users

Field Maps Mobile | City of Msla Utilities, is designed to help city staff, consultants, and the public view utility infrastructure on a mobile device using ArcGIS Field Map for Android and iOS.To get started download ArcGIS Field Maps. You do not need to create an account. Then search "Field Maps City of Missoula."This map displays information relative to the City of Missoula sanitary, storm, and water systems. Information includes attributes such as diameter, length, material, year built, etc. In addition, as-built drawings can be accessed.

This the Dashboard view only web map used for version 3 of the CUSEC Post-Disaster Building Safety Assessment Application, developed by the CUSEC Safety Assessment working group.More information:Following a large disaster, thousands of damaged buildings may need to be quickly surveyed to determine their safety and habitability. Traditional survey methods can be time consuming and inefficient. In 2015, the Central U.S. Earthquake Consortium (CUSEC) created a FREE mobile data collection app to address this issue.The "Safety Assessment App" captures post-disaster safety assessments into a geographic information system (GIS) that can be used by emergency managers and decision makers to improve disaster response and recovery efforts. Trained engineers and architects can use the app quickly document whether or not buildings are safe to occupy following an earthquake, wind, or flood event. Instead of using paper forms that are time-consuming and cumbersome to enter into a GIS database, assessment teams can use the app on iOS, Android, or Windows-based smartphones and tablets. Please leave feedback or questions in the Comments section below.