A method is provided herein for selecting a combination of a subset of weather stations from among a plurality of weather stations for estimating the weather at a specific location. The method may include: receiving an indication of a plurality of weather stations within a predefined area, where the predefined area includes a first location; determining, for each of the plurality of weather stations, a distance of the weather station from the first location; calculating, for a plurality of different combinations of subsets of the plurality of weather stations, an average distance of the weather stations of each of the plurality of different combinations from the first location; calculating, for each of the different combinations of subsets, an average location relative to the first location; and selecting a combination of a subset of the plurality of weather stations based on the average distance and the average location.

A method is provided herein for selecting a combination of a subset of weather stations from among a plurality of weather stations for estimating the weather at a specific location. The method may include: receiving an indication of a plurality of weather stations within a predefined area, where the predefined area includes a first location; determining, for each of the plurality of weather stations, a distance of the weather station from the first location; calculating, for a plurality of different combinations of subsets of the plurality of weather stations, an average distance of the weather stations of each of the plurality of different combinations from the first location; calculating, for each of the different combinations of subsets, an average location relative to the first location; and selecting a combination of a subset of the plurality of weather stations based on the average distance and the average location.

Systems and methods are provided for presenting media streams based on changes in geolocation. A MapView system may receive a first positioning signal indicating a first geographical location of a user device. The MapView system may determine a first media stream to be presented by the user device based on the first geographical location and a location of a source of the first media stream. The MapView system may then facilitate a presentation of the first media stream by the user device. When the MapView system receives a second positioning signal indicating a second geographical location of the user device, the MapView may identify, a second media stream to be presented by the user device based on the second geographical location being in broadcast range of the second media stream. The MapView system may then facilitate a presentation of the second media stream by the user device.

Systems and methods are provided for presenting media streams based on changes in geolocation. A MapView system may receive a first positioning signal indicating a first geographical location of a user device. The MapView system may determine a first media stream to be presented by the user device based on the first geographical location and a location of a source of the first media stream. The MapView system may then facilitate a presentation of the first media stream by the user device. When the MapView system receives a second positioning signal indicating a second geographical location of the user device, the MapView may identify, a second media stream to be presented by the user device based on the second geographical location being in broadcast range of the second media stream. The MapView system may then facilitate a presentation of the second media stream by the user device.

A method is provided herein for selecting a combination of a subset of weather stations from among a plurality of weather stations for estimating the weather at a specific location. The method may include: receiving an indication of a plurality of weather stations within a predefined area, where the predefined area includes a first location; determining, for each of the plurality of weather stations, a distance of the weather station from the first location; calculating, for a plurality of different combinations of subsets of the plurality of weather stations, an average distance of the weather stations of each of the plurality of different combinations from the first location; calculating, for each of the different combinations of subsets, an average location relative to the first location; and selecting a combination of a subset of the plurality of weather stations based on the average distance and the average location.

A method is provided herein for selecting a combination of a subset of weather stations from among a plurality of weather stations for estimating the weather at a specific location. The method may include: receiving an indication of a plurality of weather stations within a predefined area, where the predefined area includes a first location; determining, for each of the plurality of weather stations, a distance of the weather station from the first location; calculating, for a plurality of different combinations of subsets of the plurality of weather stations, an average distance of the weather stations of each of the plurality of different combinations from the first location; calculating, for each of the different combinations of subsets, an average location relative to the first location; and selecting a combination of a subset of the plurality of weather stations based on the average distance and the average location.

A public addressing system can identify user preferences including language, volume, and method of delivery to provide improved content in a given geographical area using perceptual computing techniques. The system can also support the use of personal devices including wearables in order to deliver private personalized messages discreetly. For example, one embodiment of a public announcement system gathers and aggregates demographic data of a population in a public place. The public announcement system creates inferences from this data to predict content delivery preferences, such as a sequence of languages or delivery characteristics (e.g., speech rate, content and volume). The delivery preferences can be ranked and then a recommendation for a public announcement provided.

A public addressing system can identify user preferences including language, volume, and method of delivery to provide improved content in a given geographical area using perceptual computing techniques. The system can also support the use of personal devices including wearables in order to deliver private personalized messages discreetly. For example, one embodiment of a public announcement system gathers and aggregates demographic data of a population in a public place. The public announcement system creates inferences from this data to predict content delivery preferences, such as a sequence of languages or delivery characteristics (e.g., speech rate, content and volume). The delivery preferences can be ranked and then a recommendation for a public announcement provided.

A public addressing system can identify user preferences including language, volume, and method of delivery to provide improved content in a given geographical area using perceptual computing techniques. The system can also support the use of personal devices including wearables in order to deliver private personalized messages discreetly. For example, one embodiment of a public announcement system gathers and aggregates demographic data of a population in a public place. The public announcement system creates inferences from this data to predict content delivery preferences, such as a sequence of languages or delivery characteristics (e.g., speech rate, content and volume). The delivery preferences can be ranked and then a recommendation for a public announcement provided.

A public addressing system can identify user preferences including language, volume, and method of delivery to provide improved content in a given geographical area using perceptual computing techniques. The system can also support the use of personal devices including wearables in order to deliver private personalized messages discreetly. For example, one embodiment of a public announcement system gathers and aggregates demographic data of a population in a public place. The public announcement system creates inferences from this data to predict content delivery preferences, such as a sequence of languages or delivery characteristics (e.g., speech rate, content and volume). The delivery preferences can be ranked and then a recommendation for a public announcement provided.