Campus discovery is an important feature of a university student induction process. Approaches towards campus discovery differ from course to course and can comprise guided tours that are often lengthy and uninspiring, or self-guided tours that run the risk of students failing to complete them. This paper describes a campus self-discovery induction game (Geospatial Crypto Reconnaissance) which aims to make students aware of campus resources and facilities, whilst at the same time allowing students to make friends and complete the game in an enthusing and exciting way. In this paper we describe the game construct, which comprises of a location, message, and artefact, and also the gameplay. Geospatial Crypto Reconnaissance requires students to identify a series of photographs from around the campus, to capture the GPS coordinates of the location of the photograph, to decipher a ciphered message and then to return both the GPS coordinates and the message for each photograph, proving that the student has attended the location. The game had a very high satisfaction score and we present an analysis of student feedback on the game and also provide guidance on how the game can be adopted for less technical cohorts of students.

Lytx Inc., revealed its Weather Hazard Alerts. The artificial intelligence (AI)-powered geospatial technology is available to all Lytx clients as a project within the Lytx Lab tab in their accounts.

John Frandsen, Chief Product officer for Elebase, joins host Jeff Doolittle for an exploration of geospatial technologies. The conversation begins with a discussion of the history of mapping and global information systems (GIS) technologies. John describes the underlying technologies used in location-aware applications and the ways that developers can incorporate maps in their own applications. The conversation also highlights recent changes and innovations in the space, as well as the challenges and opportunities of incorporating your own data into existing base map providers. This episode is sponsored by WorkOS.

Advanced analytics programs can incorporate geospatial data. Learn how such data can be used to augment local marketing plans

Everything happens somewhere, and much of our customer data includes location information. Websites include x, y coordinates in semi-structured click streams, and the mobile apps your prospects depend on frequently support device location to provide a personalized, targeted experience. As my SAS peer Robby Powell said: "Human brains are hardwired [...]

SAS Customer Intelligence 360: Data visualization, location analytics and geospatial insights was published on Customer Intelligence Blog.

The 14th edition of the Indo-Pacific Geo Intelligence Forum highlighted the critical role of geospatial technology in addressing security challenges in the region.

Cambridge, Massachusetts : The MIT Press, [2024]

With Adobe Experience Manager as a Cloud Service, Esri's development time has improved by 20%-50%

Obtain, run, and extend a Node.js starter application that uses the IBM Cloud Geospatial Analytics service. With the Geospatial Analytics service, you can monitor moving devices from the Internet of Things. The service analyzes a device message stream from MQTT and tracks device locations in real time with respect to one or more geographic regions.

Deploy and extend an Internet of Things (IoT) Connected Vehicle starter kit on IBM Cloud with the Internet of Things Platform and Geospatial services. The starter kit enables you to simulate, view, and manage vehicles driving through a city and set up geofences for notification.

TRB’s Airport Cooperative Research Program (ACRP) Report 39: Recommended Guidelines for the Collection and Use of Geospatially Referenced Data for Airfield Pavement Management offers recommended guidelines for the collection and use of geospatially referenced data for airfield pavement management. The guidelines provide a data schema, data collection methods, data quality requirements, and other relevant information required for developing specifications and standards for integrating geospatial data into...

Advanced analytics programs can incorporate geospatial data. Learn how such data can be used to augment local marketing plans

Most British railway embankments were constructed between 120 and 180 years ago without the benefit of modern design and construction methods. This can result in undesirable load-deformation characteristics and consequent disruption to present-day railway operations, for which there is unprecedented demand. Annual rail passenger kilometres have approximately doubled in the last 20 years and freight has increased by 60% over the same period. Whereas elements such as rails or bridges can be refurbished or replaced to meet increasing demand, the same is not usually feasible for embankments. Development of techniques to assess embankment performance risks posed by operational capacity enhancements is therefore of increasing significance to railway geotechnical asset management. The two case studies presented in this paper demonstrate how geospatial analysis and data management techniques may be applied to this challenge at both strategic (regional or national) and tactical (site-specific) scales for embankments incorporating plastic clay fill. The case studies also demonstrate, in a world of ever more abundant data, the growing need for engineering geologists and geotechnical engineers to augment their traditional knowledge with comprehensive data management and geospatial analysis skills, these being essential for modern infrastructure asset management.

Thematic collection: This article is part of the ‘Ground-related risk to transportation infrastructure’ collection available at: https://www.lyellcollection.org/cc/Ground-related-risk-to-transportation-infrastructure

Islam, Shammunul, author

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Rotch Library - G70.212.V65 2017

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