Abstract: A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A ball tree is generated, the ball tree comprising a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. The ball tree is traversed to generate sorted collection of location dependent values. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

Abstract: A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A ball tree is generated, the ball tree comprising a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. The ball tree is traversed to generate sorted collection of location dependent values. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

Abstract: Methods of and computer program products for predicting crop yield of a geographic region are provided. In various embodiments, a time series of satellite imagery is received. The time series of satellite imagery covers at least the geographic region during a predetermined time period. The predetermined time period comprises one or more phenology periods. A time series of weather data is received. The time series of weather data covers at least the geographic region during the predetermined time period. At least one surface feature of the geographic region during each of the one or more phenology periods is generated from the time series of satellite imagery. At least one weather feature of the geographic region during each of the one or more phenology periods is generated from the time series of weather data. The at least one surface feature and the at least one weather feature are provided to a trained model. A prediction of crop yield for the geographical region is received from the trained model.