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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.

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.

These data provide evidence of how movement in London was been affected by the various control measures for COVID-19 and how much they recovered once those measures were eased. NOTE: Google stopped updates on 15th Oct 2022 This page summarises changes in activity from baseline obtained from Google's Mobility Report including: Retail and recreation Grocery and pharmacy Parks Transit stations Workplaces percent Residential Google collects location data shared by users of Android smartphones, and compares the time and duration of visits to locations to the median values on the same day of the week in the five weeks from 3 Jan 2020.

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

Over the past several years, the department has undergone an extensive effort to correct and provide for accurate descriptions of commercial salmon fishing districts, sections, statistical areas, and closed waters. This interactive mobile map allows users to view these areas as well as other information pertinent to Southeast Alaska salmon fisheries management. This map is available for download thru the Esri Field Maps app and can be used offline. This map is for reference purposes only and is still under development. Any feedback is appreciated.The map can be used remotely on mobile devices by downloading the ArcGIS Field Maps app by ESRI and loading the ADF&G SE AK Salmon Mobile – SEAK map. You can find this map by using the search feature within the “Maps” page of the app and typing in “ADF&G”. At this time ArcGIS Field Maps is available for use on Android and iOS platforms,but not compatible with Windows.Recent updates: Yakutat salmon districts and statistical areas for both Yakutat and Southeast Alaska are now included. Check back for updates!Last Update July 10, 2024 (download size 905.36 MB)

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.

Offline-kart over Jan Mayen tilsvarende zoomnivået for 1:10 000 i cachetjenesten NP_Basiskart_JanMayen_WMTS_25829 / Offline map of Jan Mayen equivalent to the zoom level for 1:10 000 in the cache service NP_Basiskart_JanMayen_WMTS_25829

Kartet er i JPG2000-filformatet, og egnet for bruk i GIS og kart-apper for Android og iOS, f.eks. GeoViewer. Filstørrelse ca. 37MB. / The map is in JPG2000 file format, and suited for use in GIS and map apps for Android and iOS, e.g. GeoViewer. File size approx. 37MB.

Offline-kart over Jan Mayen tilsvarende zoomnivået for 1:40 000 i cachetjenesten NP_Basiskart_JanMayen_WMTS_25829 / Offline map of Jan Mayen equivalent to the zoom level for 1:40 000 in the cache service NP_Basiskart_JanMayen_WMTS_25829

Kartet er i GeoTIFF-filformatet, og egnet for bruk i GIS og kart-apper for Android og iOS, f.eks. GeoViewer. Filstørrelse ca. 13MB. / The map is in GeoTIFF file format, and suited for use in GIS and map apps for Android and iOS, e.g. GeoViewer. File size approx. 13MB.

Offline-kart over Svalbard tilsvarende zoomnivået for 1:40 000 i cachetjenesten NP_Basiskart_Svalbard_WMTS_25833 / Offline map of Svalbard equivalent to the zoom level for 1:40 000 in the cache service NP_Basiskart_Svalbard_WMTS_25833

Kartet er i JPEG 2000 (JP2)-filformatet, og egnet for bruk i GIS og kart-apper for Android og iOS, f.eks. GeoViewer. Filstørrelse ca. 600MB. / The map is in JPEG 2000 (JP2) file format, and suited for use in GIS and map apps for Android and iOS, e.g. GeoViewer. File size approx. 600MB.

Quality

Kartet genereres med produksjonen av nye kartdata og oppdatering av karttjenesten over. / The map is generated with the production of new map data and updates in the map service above.

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

Results of a survey to guage the amount of litter located in an area of the Sychnant Pass in North Wales, close to paths popular with walkers and other casual visitors. It was intended to show the types of litter as an indicator of behaviour and littering-motivation. Coordinates are WGS-84. Survey carried out by Andrew Thomas 15th August 2014. These data were collected using the Snowdonia Society and SBBS open-source 'Log Sbwriel' litter logging Android app (https://github.com/sbbsbangor).

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

Descriptive analysis of information collected from 891 villages by surveyors using ODK software, Tonkolili and Bombali District, January 2015.

Information collected from 891 villages by surveyors using ODK software, Tonkolili and Bombali District, January 2015.

The global drone flight planning software market is experiencing robust growth, projected to reach $241 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 8.3% from 2025 to 2033. This expansion is fueled by several key factors. The increasing adoption of drones across diverse sectors like construction, agriculture, and mining, for tasks such as surveying, inspections, and precision agriculture, is a primary driver. Furthermore, advancements in software capabilities, including enhanced automation features, improved flight simulation, and better integration with drone hardware, are streamlining operations and increasing efficiency. The rising demand for data-driven insights from aerial imagery analysis also significantly contributes to market growth. The availability of user-friendly interfaces and cloud-based solutions are making this technology accessible to a broader range of users, fostering market expansion. Competition is intense amongst established players like DJI FlightPlanner, Pix4D, and DroneDeploy, alongside numerous emerging companies offering innovative solutions. The market is also segmented by operating system (iOS and Android), further reflecting user preferences and technological advancements. Geographical distribution reveals a strong presence in North America and Europe, driven by early adoption and robust regulatory frameworks. However, significant growth opportunities exist in rapidly developing economies within Asia-Pacific and other regions, as drone technology adoption accelerates. While challenges remain, such as regulatory hurdles in certain regions and the need for skilled professionals, the overall market outlook is positive. Continuous technological innovation, coupled with increasing demand for efficient and cost-effective solutions, is poised to propel the drone flight planning software market to new heights in the coming years. The market’s segmentation, based on application and operating system, presents opportunities for specialized software development catering to the unique needs of diverse industries and user preferences. This specialized approach allows for more efficient solutions, tailored for specific industries, leading to greater market penetration.

SummaryThe bloomWatch Reports Dashboards display cyanobacteria (blue-green algae) bloom reports submitted through the bloomWatch app., which is available on both iOS and Android. The app was created by the Cyanobacteria Monitoring Collaborative - a partnership of local, state, federal and academic partners concerned better monitoring, understanding, and sharing information with about the occurrence of cyanobacteria blooms in surface waters. Additional detailsThe cyanobacteria report feature service which drives the Dashboards is hosted in ArcGIS Online.At most zoom levels, the base map is the Accessible Basemap Gray version 2 by ajskinner.The Dashboards and the app are available in English and Spanish.

The market for Land Survey Apps is expected to grow from USD XXX million in 2023 to USD XXX million by 2033, at a CAGR of XX% during the forecast period 2023-2033. The growth of the market is attributed to the increasing use of smartphones and tablets for land surveying, the growing popularity of DIY land surveying, and the increasing number of land development projects. The market is segmented by type, application, and region. Based on type, the market is divided into Android System and IOS System. Based on application, the market is divided into Agriculture, Forestry, Building Industry, and Others. Based on region, the market is divided into North America, South America, Europe, Middle East & Africa, and Asia Pacific. The key drivers of the market are the increasing use of smartphones and tablets for land surveying, the growing popularity of DIY land surveying, and the increasing number of land development projects. The key trends in the market include the development of new and innovative land survey apps, the integration of new technologies such as GPS and GIS, and the growing adoption of cloud-based land survey apps. The key challenges in the market include the lack of awareness of land survey apps, the high cost of land survey apps, and the lack of skilled land surveyors. The key opportunities in the market include the growing demand for land survey apps in developing countries, the increasing popularity of DIY land surveying, and the increasing number of land development projects. This report delves into the dynamic landscape of the Land Survey App industry, providing invaluable insights into market dynamics, growth drivers, challenges, and emerging trends. The report covers key industry segments, regional trends, and profiles of leading players.

Offline-kart over Jutulsessen basert på det trykte kartet / Offline map of Jutulsessen based on the printed map.

Kartet er i JPEG 2000 (JP2)-filformatet, og egnet for bruk i GIS og kart-apper for Android og iOS, f.eks. GeoViewer. / The map is in JPEG 2000 (JP2) file format, and suited for use in GIS and map apps for Android and iOS, e.g. GeoViewer.

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