As of October 2020, the average amount of mobile data used by Apple Maps per 20 minutes was 1.83 MB, while Google maps used only 0.73 MB. Waze, which is also owned by Google, used the least amount at 0.23 MB per 20 minutes.

In 2023, Google Maps was the most downloaded map and navigation app in the United States, despite being a standard pre-installed app on Android smartphones. Waze followed, with 9.89 million downloads in the examined period. The app, which comes with maps and the possibility to access information on traffic via users reports, was developed in 2006 by the homonymous Waze company, acquired by Google in 2013.

Usage of navigation apps in the U.S. As of 2021, less than two in 10 U.S. adults were using a voice assistant in their cars, in order to place voice calls or follow voice directions to a destination. Navigation apps generally offer the possibility for users to download maps to access when offline. Native iOS app Apple Maps, which does not offer this possibility, was by far the navigation app with the highest data consumption, while Google-owned Waze used only 0.23 MB per 20 minutes.

Usage of navigation apps worldwide In July 2022, Google Maps was the second most popular Google-owned mobile app, with 13.35 million downloads from global users during the examined month. In China, the Gaode Map app, which is operated along with other navigation services by the Alibaba owned AutoNavi, had approximately 730 million monthly active users as of September 2022.

The global navigation map market is experiencing robust growth, driven by increasing adoption of location-based services across various sectors. Our analysis projects a market size of $15 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several key factors. The automotive industry's reliance on advanced driver-assistance systems (ADAS) and autonomous vehicles is a primary driver, demanding high-precision and regularly updated map data. Furthermore, the proliferation of mobile devices with integrated GPS and mapping applications continues to stimulate market growth. The burgeoning enterprise solutions segment, utilizing navigation maps for logistics, fleet management, and delivery optimization, contributes significantly to overall market value. Government and public sector initiatives promoting smart cities and infrastructure development further fuel demand. Technological advancements, such as the integration of LiDAR and improved GIS data, enhance map accuracy and functionality, attracting more users and driving market expansion. The market segmentation reveals substantial contributions from various application areas. The automotive segment is projected to maintain its dominance throughout the forecast period, followed closely by the mobile devices and enterprise solutions segments. Within the type segment, GIS data holds a significant market share due to its versatility and application across various sectors. However, LiDAR data is experiencing rapid growth, driven by its high precision and suitability for autonomous driving applications. Geographic regional analysis indicates strong market presence in North America and Europe, primarily driven by advanced technological infrastructure and high adoption rates. However, the Asia-Pacific region is poised for substantial growth, fueled by rapid urbanization, increasing smartphone penetration, and government investments in infrastructure development. Competitive landscape analysis reveals a blend of established players and emerging technology companies, signifying an increasingly dynamic and innovative market environment.

As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Between 2018 and 2019 about 42 percent of children and teenage students in urban areas of Costa Rica were found to use Google Maps, against almost 28 percent of respondents from rural areas of the country. The study also found that 95 percent of responding children and teens in Costa Rica accessed the internet via a mobile phone.

The Water Resources Agency and its affiliated agencies provide relevant point information of various silt measurement stations to government agencies, private organizations, groups, or academic units commissioned by government agencies to carry out projects. This dataset is linked to a list of KML (Keyhole Markup Language) files, which is a markup language based on the XML (eXtensible Markup Language) syntax standard, developed and maintained by Keyhole, a subsidiary of Google, for geographic annotation. Documents written in KML language are KML files, which also use the XML file format and are used in Google Earth-related software (Google Earth, Google Map, Google Maps for mobile...) to display geographic data (including points, lines, surfaces, polygons, polyhedra, and models...). Many GIS-related systems now also use this format to exchange geographic data, and the fields and encoding of this data's KML are all in UTF-8.

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Aurora:GeoStudio® is a cutting-edge platform that offers robust mobile location data services, providing detailed geographical information about devices’ whereabouts, linked to specific time identifiers. Mobile location data is crucial for a variety of applications, including targeted advertising, traffic analysis, urban planning, and location-based services.

Core Features:

  1.    Current and Historical Data:
  •    Aurora:GeoStudio® delivers both current and historical mobile location data, allowing users to analyze current movement patterns as well as trends over time. This dual approach enables comprehensive analysis of device trajectories, population movements, and location-specific behaviors.
  2.    High Precision and Accuracy:
  •    The platform ensures high precision and accuracy in mobile location data, providing granular details about device locations. This precise data is essential for applications requiring exact positioning, such as traffic management, navigation services, and emergency response.
  3.    Temporal Context:
  •    Each data point is linked to a specific time identifier, adding a temporal dimension to the geographical information. This feature allows users to track changes and trends over time, understand peak activity periods, and analyze time-dependent patterns, such as rush hour traffic or seasonal visitor fluctuations.
  4.    Data Integration and Visualization:
  •    Aurora:GeoStudio® integrates mobile location data with customizable maps and overlay options, enhancing the visualization of movement patterns and spatial relationships. Users can visualize data on various map types, including Google, Esri, Open, and Stamen variants, and overlay additional data layers, such as traffic density, WiFi usage, and weather conditions, to gain deeper insights.

Applications:

  1.    Targeted Advertising:
  •    By analyzing mobile location data, businesses can deliver highly targeted advertisements to users based on their geographic locations and movement patterns. This enables more effective marketing strategies, tailored to the specific behaviors and preferences of potential customers.
  2.    Traffic Analysis:
  •    Urban planners and traffic management authorities can use mobile location data to analyze traffic flows, identify congestion hotspots, and optimize transportation networks. This data-driven approach supports the development of efficient traffic management solutions and infrastructure improvements.
  3.    Urban Planning:
  •    Mobile location data provides valuable insights into population movements, helping urban planners design better cities. By understanding how people move and interact with urban spaces, planners can optimize public transportation routes, allocate resources more effectively, and create more livable environments.
  4.    Location-Based Services:
  •    Aurora:GeoStudio® supports the development of location-based services, such as navigation apps, ride-sharing platforms, and location-based social networks. Precise mobile location data ensures these services operate efficiently, providing users with accurate and reliable information.

Aurora:GeoStudio® stands out as a powerful tool for leveraging mobile location data, providing detailed geographical information linked to time identifiers. Its capabilities in delivering precise, real-time, and historical data, combined with advanced visualization and integration options, make it an invaluable resource for targeted advertising, traffic analysis, urban planning, and location-based services. By harnessing the power of mobile location data, Aurora:GeoStudio® enables users to make more informed decisions, optimize operations, and develop innovative solutions tailored to geographical and temporal insights.

Snapshot img

Smartphone Market Size 2025-2029

The smartphone market size is forecast to increase by USD 99.8 million, at a CAGR of 4.1% between 2024 and 2029.

The market is experiencing significant growth, driven by several key trends. One major factor is the increasing adoption of artificial intelligence (AI) in smartphones, enhancing user experience through features like voice recognition and facial recognition. Sensor fusion technology is another trend, enabling devices to collect and analyze data from various sensors for improved functionality and accuracy. However, ongoing trade wars are posing challenges to market growth, with tariffs and import taxes affecting smartphone sales, particularly in key markets. These trends and challenges are shaping the future of the smartphone industry.

What will be the Size of the Smartphone Market During the Forecast Period?

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The market continues to evolve, driven by advancements in telecom infrastructure and the proliferation of affordable handsets. Mobile phone users increasingly seek devices capable of leveraging 5G network technologies, with chipmakers responding by producing 5G chips for integration into mobile handsets. Android and Windows Phone operating systems dominate the market, while third-party originators challenge the status quo. Improved hardware and software capabilities enable advanced digital functions such as web browsing, music, video, gaming, and camera capability. The integration of artificial intelligence enhances user experience. Governmental assistance and the transition from feature phones to smartphones further fuel market growth. Overall, the market remains dynamic, with a focus on affordable, high-performance devices that cater to the diverse needs of consumers.

How is this Smartphone Industry segmented and which is the largest segment?

The smartphone industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Technology

  Android
  IOS
  Others


Price Range

  Between USD 150-USD 800
  Greater than USD 800
  Less than USD150


Screen Size

  Greater than 6 inches
  Between 5-6 inches
  Less than 5 inches


Geography

  APAC

    China
    India
    Japan
    South Korea


  Europe

    Germany
    UK
    France


  North America

    Canada
    US


  Middle East and Africa



  South America

    Brazil

By Technology Insights

The android segment is estimated to witness significant growth during the forecast period.

The Android operating system, provided by Alphabet Inc. (Google), is a globally popular choice for smartphones. With over 2.5 million apps available In the Google Play Store, users have access to a vast selection of applications catering to their diverse needs. Notable features of the Android OS include smart reply for messaging apps, focus mode options, Wi-Fi sharing via QR codes, and Google Assistant. Google offers essential web services such as Google Search, Google Maps, and YouTube free of charge. The Android OS's extensive feature set has contributed to its increasing popularity among consumers worldwide.

In addition, high-speed data connectivity and integration with Internet of Things (IoT) applications further enhance its appeal. Application developers create software for various lifestyle, social media, mobile utility, and other categories, ensuring a rich and diverse app ecosystem. The Android OS is written primarily in Java and C++, with support for in-app purchases and in-app course subscriptions.

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The android segment was valued at USD 203.60 million in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

APAC is estimated to contribute 48% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

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The market in APAC has experienced substantial growth, with China, Japan, India, South Korea, and Indonesia being the primary contributors to revenue generation. The expansion of urban populations and the subsequent increase in disposable income have fueled the demand for smartphones In the region. Key drivers of this market growth include the advancement of telecom infrastructure and the emergence of affordable smartphone options. Major global smartphone manufacturers have established manufacturing facilities in China, Taiwan, South Korea, Japan, and India to cater to the increasing demand.

Additionally, digital information consumption, human-computer interaction advancements, and t

The Location-Based Services (LBS) market is experiencing robust growth, driven by the increasing penetration of smartphones, the proliferation of mobile data, and the rising adoption of location-aware applications. The market's expansion is fueled by several key factors, including the growing demand for personalized services, improved navigation systems, enhanced location-based advertising, and the integration of LBS into various industries such as logistics, retail, and healthcare. The increasing availability of high-quality location data and advancements in mapping and positioning technologies also contribute significantly to market growth. Competition among key players like Google, TomTom, and Foursquare is intensifying, leading to continuous innovation and improvements in LBS accuracy, functionality, and user experience. Market segmentation, based on type (e.g., navigation, tracking, advertising) and application (e.g., transportation, retail, emergency services), reveals significant growth opportunities across diverse sectors, with the navigation segment likely dominating due to the widespread use of GPS technology. Geographic expansion is also a prominent feature, with North America and Europe currently holding substantial market shares, followed by the Asia-Pacific region experiencing rapid growth. While the market exhibits considerable potential, certain challenges remain. Data privacy concerns and the need for robust security measures are crucial factors that influence adoption. The accuracy and reliability of location data can also be impacted by factors such as GPS signal limitations in urban areas or indoor environments. Furthermore, regulatory hurdles and the need for interoperability between different LBS providers pose ongoing challenges for the market's seamless expansion. However, ongoing technological advancements in areas like augmented reality (AR) and 5G connectivity are poised to overcome some of these limitations and propel the market towards continued growth and diversification. We estimate a sustained CAGR of around 15% for the forecast period, resulting in significant market expansion over the next decade.

AnLoCOV is a large anonymized longitudinal GPS location dataset for studies spanning over pre- and post-COVID periods in Ecuador. This project contains data collected using the Global Positioning System (GPS) from mobile devices. This GPS data was acquired using the Google Location History, accessible in the Google Maps application. It includes data from 338 people over ten years (2012–2022). The dataset's goal is to promote studies on human mobility behavior and activity spaces using GPS data from mobile devices.

Statewide soil and land information can be discovered and viewed through eSPADE or SEED. Datasets include soil profiles, soil landscapes, soil and land resources, acid sulfate soil risk mapping, hydrogeological landscapes, land systems and land use. There are also various statewide coverages of specific soil and land characteristics, such as soil type, land and soil capability, soil fertility, soil regolith, soil hydrology and modelled soil properties.

Both eSPADE and SEED enable soil and land data to be viewed on a map. SEED focuses more on the holistic approach by enabling you to add other environmental layers such as mining boundaries, vegetation or water monitoring points. SEED also provides access to metadata and data quality statements for layers.

eSPADE provides greater functions and allows you to drill down into soil points or maps to access detailed information such as reports and images. You can navigate to a specific location, then search and select multiple objects and access detailed information about them. You can also export spatial information for use in other applications such as Google Earth™ and GIS software.

eSPADE is a free Internet information system and works on desktop computers, laptops and mobile devices such as smartphones and tablets and uses a Google maps-based platform familiar to most users. It has over 42,000 soil profile descriptions and approximately 4,000 soil landscape descriptions. This includes the maps and descriptions from the Soil Landscape Mapping program. eSPADE also includes the base maps underpinning Biophysical Strategic Agricultural Land (BSAL).

For more information on eSPADE visit: https://www.environment.nsw.gov.au/topics/land-and-soil/soil-data/espade

Aurora:GeoStudio® is a premier geospatial analysis platform that excels in supporting foot traffic data through its sophisticated Population Dynamics® analytic. Foot traffic data encompasses information about the number of people visiting specific locations or establishments, providing deep insights into customer behavior, patterns, and trends. This data is crucial for businesses looking to understand their audience and make data-driven decisions.

Core Features:

  1.    Data Collection Methods:
  •    Passive Sensors: Aurora:GeoStudio® integrates data collected from passive sensors deployed at various locations. These devices count the number of visitors, track their movement paths, and record the duration of their visits.
  •    Mobile Devices: The platform also leverages data from mobile devices, providing additional insights into foot traffic patterns through location-based services and applications.
  2.    Population Dynamics® Analytic:
  •    Aurora:GeoStudio®’s Population Dynamics® analytic processes foot traffic data to deliver comprehensive insights. This analytic tool helps visualize and understand visitor behavior, peak visiting times, and movement trends within specific areas.
  3.    Visualization and Mapping:
  •    The platform offers advanced visualization capabilities, displaying foot traffic data on customizable maps from providers like Google, Esri, Open, and Stamen. These visualizations help users understand spatial patterns and relationships, facilitating informed decision-making.

Applications:

  1.    Customer Behavior Analysis:
  •    Businesses can analyze foot traffic data to understand customer behavior, such as the number of visitors, the duration of their visits, and the paths they take within an establishment. This information is crucial for tailoring services and improving customer satisfaction.
  2.    Store Layout Optimization:
  •    Foot traffic data helps businesses optimize store layouts by identifying high-traffic areas and bottlenecks. By understanding how customers move through a space, businesses can rearrange products and displays to enhance flow and maximize sales opportunities.
  3.    Marketing Strategy Enhancement:
  •    Aurora:GeoStudio® enables businesses to refine their marketing strategies by providing insights into peak visiting times and customer demographics. This data supports targeted marketing campaigns, ensuring promotions reach the right audience at the right time.
  4.    Operational Efficiency:
  •    Understanding foot traffic patterns allows businesses to optimize staffing levels, manage inventory more effectively, and improve overall operational efficiency. By aligning resources with actual customer demand, businesses can enhance service delivery and reduce costs.
  5.    Urban Planning and Public Spaces:
  •    Foot traffic data is invaluable for urban planners and managers of public spaces. It helps in designing public areas that accommodate pedestrian flow efficiently and ensures that amenities are accessible and well-placed.

Aurora:GeoStudio®’s support for foot traffic data through the Population Dynamics® analytic offers businesses and urban planners a powerful tool for understanding and optimizing visitor behavior. By leveraging data from sensors, cameras, and mobile devices, the platform provides detailed insights into customer movements and trends. These insights enable businesses to enhance their marketing strategies, optimize store layouts, and improve operational efficiency. For urban planners, foot traffic data facilitates the design of more effective and accessible public spaces. Aurora:GeoStudio®’s advanced features empower users to make informed decisions and achieve a comprehensive understanding of foot traffic dynamics, leading to better strategic outcomes.

The global Mobile Mapping Systems market is experiencing robust growth, projected to reach $20,740 million in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 16.0% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of autonomous vehicles and the need for highly accurate and detailed maps for navigation and advanced driver-assistance systems (ADAS) are significantly fueling market demand. Furthermore, the growth of smart cities initiatives, requiring comprehensive infrastructure mapping for efficient urban planning and management, is a major contributor. Government and public sector investments in infrastructure projects, coupled with rising demand for location-based services across various sectors like transportation and logistics, real estate, and video entertainment, are also boosting market growth. The shift towards cloud-based solutions and the integration of advanced technologies like LiDAR and GPS are further enhancing the capabilities and efficiency of mobile mapping systems, attracting broader adoption. The market is segmented by system type (Direct Mobile Mapping System and Backpack Mobile Mapping System) and application (Automobile, Transportation & Logistics, Government & Public Sector, Video Entertainment, Real Estate, Travel & Hospitality, and Other). While the Automobile sector currently holds a significant market share, the Government & Public Sector and Transportation & Logistics segments are expected to witness substantial growth due to increasing infrastructure development and the need for efficient logistics management. Competition in the market is intense, with major players including Ericsson, Microsoft, Apple, Google, and TomTom continuously innovating and expanding their product offerings to cater to the evolving demands of various industries. The market's geographical distribution is diverse, with North America and Europe currently leading in adoption, followed by the Asia-Pacific region, which is expected to demonstrate significant growth potential in the coming years driven by economic development and increasing urbanization. This comprehensive report analyzes the burgeoning Mobile Mapping Systems (MMS) market, projected to reach $15 billion by 2030. It delves into key trends, competitive landscapes, and growth drivers, providing invaluable insights for businesses and investors alike. The report leverages extensive market research and data analysis to provide actionable intelligence on this rapidly evolving technology. Keywords: Mobile Mapping, LiDAR, 3D Mapping, GIS, Location-Based Services, Autonomous Vehicles, Mapping Technology, Geospatial Data.

This data was collected by Google and Dublin City Council as part of (https://smartdublin.ie/google-and-dublin-city-council-launch-innovative-partnership-to-capture-dublins-air-quality-street-by-street/). Google’s first electric Street View car equipped with Aclima’s mobile air sensing platform drove through the roads of Dublin City measuring street by street air quality. Diving predominantly took place Monday-Friday between 9:00 am and 5:00 pm from May 2021 through August 2022, so the Dataset Primarily represents typical daytime, weekday air quality. The car measured pollution on each street and highway at 1-second intervals, driving with the flow of traffic at normal speeds. The Pollutants determined are: Carbon Monoxide(CO), Carbon Dioxide(CO2), Nitrogen Dioxide (NO2), NO (nitric oxide), Ozone (O3), and Particulate Matter PM2.5 (including size resolved Particle Counts from 0.3-2.5 μm).

Airview_DublinCity_Measurements is the 1-second intervals data Captured during the period. AirView_Dublin_City_RoadData is the 1-second data points aggregated in approximately 50 m road segments.

For more information about the project, methodology and maps, visit (https://insights.sustainability.google/labs/airquality/).

DataForSEO will land you with accurate data for a SERP monitoring solution. In particular, our SERP API provides data from:

• Google Organic search, Maps, News, and Images tabs in vertical search
• Bing Organic and Local Pack search
• Yahoo, Yandex, Baidu, and Naver search

For each of the search engines, we support all possible locations. You can set any keyword, location, and language, as well as define additional parameters, e.g. time frame, category, number of results.

You can set the device and the OS that you want to obtain SERP results for. We support Android/iOS for mobile and Windows/macOS for desktop.

We can supply you with all organic, paid, and extra Google SERP elements, including featured snippet, answer box, knowledge graph, local pack, map, people also ask, people also search, and more.

We offer well-rounded API documentation, GUI for API usage control, comprehensive client libraries for different programming languages, free sandbox API testing, ad hoc integration, and deployment support.

We have a pay-as-you-go pricing model. You simply add funds to your account and use them to get data. The account balance doesn't expire.

In the most recently reported fiscal year, Google's revenue amounted to 348.16 billion U.S. dollars. Google's revenue is largely made up by advertising revenue, which amounted to 264.59 billion U.S. dollars in 2024. As of October 2024, parent company Alphabet ranked first among worldwide internet companies, with a market capitalization of 2,02 billion U.S. dollars. Google’s revenue Founded in 1998, Google is a multinational internet service corporation headquartered in California, United States. Initially conceptualized as a web search engine based on a PageRank algorithm, Google now offers a multitude of desktop, mobile and online products. Google Search remains the company’s core web-based product along with advertising services, communication and publishing tools, development and statistical tools as well as map-related products. Google is also the producer of the mobile operating system Android, Chrome OS, Google TV as well as desktop and mobile applications such as the internet browser Google Chrome or mobile web applications based on pre-existing Google products. Recently, Google has also been developing selected pieces of hardware which ranges from the Nexus series of mobile devices to smart home devices and driverless cars. Due to its immense scale, Google also offers a crisis response service covering disasters, turmoil and emergencies, as well as an open source missing person finder in times of disaster. Despite the vast scope of Google products, the company still collects the majority of its revenue through online advertising on Google Site and Google network websites. Other revenues are generated via product licensing and most recently, digital content and mobile apps via the Google Play Store, a distribution platform for digital content. As of September 2020, some of the highest-grossing Android apps worldwide included mobile games such as Candy Crush Saga, Pokemon Go, and Coin Master.

Market Size and Drivers: The global Mobile GIS market is anticipated to witness a significant growth, reaching a market size of XXX million by 2033, expanding at a CAGR of XX% during the forecast period (2025-2033). The increasing adoption of mobile devices, advancements in cloud computing, and the need for real-time location data for decision-making are driving market growth. Governments and enterprises are leveraging Mobile GIS for various applications, including disaster management, asset tracking, resource planning, and customer service. Trends and Restraints: Key trends influencing the Mobile GIS market include the adoption of augmented reality (AR) and virtual reality (VR), the integration of artificial intelligence (AI) for data analysis, and the development of low-cost, high-accuracy mobile devices. However, factors such as data security concerns, device compatibility issues, and the need for robust infrastructure can restrain market growth. Additionally, the market is segmented based on type (on-premise, on-cloud), application (government, enterprises, others), and region. Major players in the market include ESRI, Google Maps, Bing Maps, SuperMap, Zondy Crber, GeoStar, Hexagon Geospatial, CARTO, GIS Cloud, and others.

FROM PUNCH CARDS TO MOBILE APPS: A GEOLOGIST'S 40 YEAR ADVENTURE IN COMPUTING

ALLMENDINGER, Richard W., Department of Earth and Atmospheric Sciences, Cornell University, Snee Hall, Ithaca, NY 14853-1504

Few things have changed more than computing over the last 40 years: from slide rulers and expensive calculators (early 70s), punch cards (late 70s and early 80s), desktop computers with graphical user interfaces (mid-1980s to 1990s) laptop computers of the (1990s to mid-2000s), to the current explosion of mobile devices/apps along with the Internet/Cloud. I started developing apps in the mid-1980s and today, my desktop and mobile apps touch about 50,000 people per year. I will highlight two of my 12 major apps: Stereonet and GMDE (Geologic Map Data Extractor). Stereonet was first written and distributed in the 1980s for the Mac. Today it is available for the Mac, Windows, and Linux and, although it remains single-user focused, it has been expanded to include visualization of observations in a Google satellite view, export 3D symbols for plotting in Google Earth, and upload of data directly to the StraboSpot website/database, tagged with StraboSpot-specific nomenclature. Stereonet also made the jump to iOS where the user can, not only see and plot their data on their iPhone or iPad, but can also use device orientation to make basic measurements in the field. GMDE is also available for all three desktop platforms but not (yet) for mobile devices. In short, GMDE facilitates the task of extracting quantitative data from geologic maps and satellite imagery. A georeferenced basemap with realtime access to elevation at any point from internet elevation services makes it easy to leverage all of the information hidden in a century of high quality geologic mapping. GMDE specializes in structural calculations: 3-point and piercing point problems, rapid digitization of existing orientation symbols, topographic sections, and down-plunge projections as well as an integrated Google satellite view. The digitized data from a static, raster map can be analyzed quantitatively and shared over the Internet to enable new scientific studies. In the future, the algorithms in GMDE can be adapted to enable better geologic mapping itself by allowing the geologist to make realtime calculations in the field that can be interrogated immediately for their significance. After all, technology should not just make our lives easier but enable genuinely new science to be done. http://www.geo.cornell.edu/geology/faculty/RWA/programs/.

The German Internet Panel (GIP) is an infrastructure project. The GIP serves to collect data about individual attitudes and preferences which are relevant for political and economic decision-making processes.

For this wave (W58), and the preceding waves (W55 and W57), a booster sample was drawn from the forsa Omninet Panel. The waves in question are designed as a study of the 2021 federal election and the impact of Covid-19 on the federal election and society. The survey of wave 55 took place before the Bundestag election and the surveys of waves 56 and 57 took place after the Bundestag election. Especially for the federal election, the number of participants should be further increased in order to be able to make more precise statements about individual groups in society. In addition, this also enables further research by combining different samples.
The questionnaire contains numerous experimental variations in the survey instruments. For more information, see the study documentation.

The questionnaire contains numerous experimental variations in the survey instruments. For more information, see the study documentation.

Ownership of a mobile phone; mobile phone is a smartphone; frequency of use of smartphone for making phone calls, sending text messages, other activities besides making phone calls; use of smartphone for various activities (visiting websites, reading/writing emails, taking photos, viewing/posting content on social networks, shopping, online banking, installing new apps, using apps that use GPS/location, connecting to other electronic devices via Bluetooth (e.g. smartwatches, fitness bracelets), playing games, listening to music or watching videos on the internet, none of these activities); frequency of use for the previously mentioned activities; apps installed on the smartphone (Spotify, Google Maps, tagesschau, WhatsApp, Facebook, DB Navigator, none of these apps); self-assessment as a beginner or advanced user of the smartphone; Sequence of steps needed to install the DB Navigator app on the smartphone and book an online train ticket; sequence of steps needed to successfully find the way from the train station to the hotel using the Google Maps navigation app on the smartphone; sequence of steps needed to connect the smartphone to the hotel´s Wi-Fi network and send photos via messenger app.

Post-traumatic personal growth: Actual weekly working hours; impact of COVID-19 on one´s workplace and professional engagement (clear understanding of how to respond to the Corona crisis, was able to rely on established procedures and practices at work to respond to the Corona crisis, during the Corona crisis there were rules, procedures and guidelines at work that I could adhere to, the Corona crisis messed up my ability to do my job well, at work the Corona crisis changed the way I normally work, at work the Corona crisis required me to change the way I do my work, at work the Corona crisis was crucial to how my professional future will develop, at work the Corona crisis was a high priority for me, at work the Corona crisis was an important event for me); personal growth and changes in own life due to Corona crisis (developed new interests, knowledge that I can count on others in hard times, new ideas about what is important and priority in life, developed self-confidence, do more with my life, learned a lot about how good people are, new sense of how important my life is to me, knowledge that I can handle difficulties, opportunities available that would not have been otherwise, accept that I need others, am stronger than I thought, appreciate every day.

Vignette experiment on attitudes towards partnerships between relatives and refugees with different attributes on gender, country of origin, religious affiliation, importance of religion and education.

Demography: sex; age (year of birth, categorized); highest level of schooling; highest level of professional education; marital status; household size; employment status; German citizenship; frequency of private internet use; federal state.

Additionally coded were: Respondent ID, GIP; household ID, GIP; person ID (within household); year of recruitment (2012, 2014, 2018); interview date; current online status; assignment to experimental groups.

Questionnaire evaluation (interesting, varied, relevant, long, difficult, too personal); evaluation of the survey overall; respondent made further comments on the questionnaire.