In some examples, a method of vector-raster data fusion includes receiving vector data for a geographical location, and statistically analyzing the vector data to obtain vector statistics. In some examples the method further includes rasterizing the vector statistics, and storing at least one of the vector data and the rasterized vector statistics together in a key-value store together with previously stored raster data for the geographical location. In some examples, the vector data further includes metadata, and the method further includes storing the metadata in at least one of the key-value store or a separate vector database.

A method for monitoring disease across agricultural areas of interest is provided comprising displaying at least one virtual zone corresponding to an agricultural geographic area of interest on a map in an application on a first device, and receiving an alert message when the first device is in proximity to a virtual zone. The at least one virtual zone is defined by at least one geofence. Each virtual zone is associated with a level of risk that indicates a likelihood of an outbreak of a disease detrimental to agriculture. Each virtual zone is configured to receive access notification information from each geofence when tracked devices enter an area defined by that geofence. The access information includes the level of risk associated with other virtual zones from which the tracked devices came. The alert message indicates if the first device should enter that virtual zone.

A method for monitoring disease across agricultural areas of interest is provided comprising displaying at least one virtual zone corresponding to an agricultural geographic area of interest on a map in an application on a first device, and receiving an alert message when the first device is in proximity to a virtual zone. The at least one virtual zone is defined by at least one geofence. Each virtual zone is associated with a level of risk that indicates a likelihood of an outbreak of a disease detrimental to agriculture. Each virtual zone is configured to receive access notification information from each geofence when tracked devices enter an area defined by that geofence. The access information includes the level of risk associated with other virtual zones from which the tracked devices came. The alert message indicates if the first device should enter that virtual zone.

A ride-share support system includes a getting-on/getting-off point information acquiring unit configured to acquire first getting-on/getting-off point information including a getting-on point or a getting-off point of a first ride-share applicant and second getting-on/getting-off point information including a getting-on point or a getting-off point of a second ride-share applicant, a getting-on/getting-off point distance calculating unit configured to calculate a distance between getting-on/getting-off points which is a distance between the getting-on point or the getting-off point of the first ride-share applicant and the getting-on point or the getting-off point of the second ride-share applicant, and a ride-share matching unit configured to determine ride-sharers of a vehicle by matching a plurality of ride-share applicants while excluding combination of the first ride-share applicant and the second ride-share applicant in a case where the distance between getting-on/getting-off points is equal to or less than a predetermined distance.

A ride-share support system includes a getting-on/getting-off point information acquiring unit configured to acquire first getting-on/getting-off point information including a getting-on point or a getting-off point of a first ride-share applicant and second getting-on/getting-off point information including a getting-on point or a getting-off point of a second ride-share applicant, a getting-on/getting-off point distance calculating unit configured to calculate a distance between getting-on/getting-off points which is a distance between the getting-on point or the getting-off point of the first ride-share applicant and the getting-on point or the getting-off point of the second ride-share applicant, and a ride-share matching unit configured to determine ride-sharers of a vehicle by matching a plurality of ride-share applicants while excluding combination of the first ride-share applicant and the second ride-share applicant in a case where the distance between getting-on/getting-off points is equal to or less than a predetermined distance.

A communication method is provided for performance by a first network function entity. The communication method includes determining a service zone ID, transmitting information including the service zone ID to a second network function entity, where the service zone ID is used for the second network function entity to select a service producer instance from a service producer.

Methods and systems for localization within an environment include determining a topology estimate of nodes located in a dynamic indoor environment, based on distances measured between the nodes. Rigid k-core sub-graphs of the topology estimate are generated to determine relative localizations of the nodes. Relative localizations are transformed into absolute localizations to generate a map of positions of the nodes within the environment. A feature of the map is deployed to a device in the environment.

Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for providing users with electronic retrieval capabilities that are activated upon the users' determined locations respective to real-world locations associated with a message providing entity. The disclosed technology combines the previously separate systems of mail extraction, geo-fencing and content delivery (e.g., notification) into a single system that efficiently manages a user's inbox in order to provide the user with content the user has expressly indicated is of interest to that user. The disclosed systems and methods effectively realize a location-aware mail experience that provides functionality for delivering location (and timing) specific content to a user when the user is actually capable of acting on/interacting with the content in real-time.

Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework for providing users with electronic retrieval capabilities that are activated upon the users' determined locations respective to real-world locations associated with a message providing entity. The disclosed technology combines the previously separate systems of mail extraction, geo-fencing and content delivery (e.g., notification) into a single system that efficiently manages a user's inbox in order to provide the user with content the user has expressly indicated is of interest to that user. The disclosed systems and methods effectively realize a location-aware mail experience that provides functionality for delivering location (and timing) specific content to a user when the user is actually capable of acting on/interacting with the content in real-time.

An approach is provided for providing mobility insight data related to shared vehicles for a point of interest (POI). The approach involves retrieving shared vehicle data for the POI. The shared vehicle data indicates one or more shared vehicle events that have occurred, that are occurring at a given time, or a combination thereof within a threshold proximity of the POI. The approach also involves processing the shared vehicle data to determine mobility insight data. The mobility insight data includes a shared vehicle usage pattern, a shared vehicle availability pattern, or a combination thereof under one or more contexts for travel to or from the POI. The approach further involves presenting the mobility insight data in a location-based user interface.