Systems and methods for improvement of index prediction and model building

A method, comprising:

• determining one or more preliminary target sub-areas among a plurality of sub-areas that make up an area;
• obtaining a trained model that is configured to generate a value for a first indicator based on one or more features related to each of the preliminary target sub-areas;
• obtaining, for each of the one or more preliminary target sub-areas, feature information of the one or more features, at least part of the feature information being associated with a designated time;
• and
• determining a value of the first indicator at the designated time for each of the one or more preliminary target sub-areas based on the trained model and the feature information.

A non-transitory computer readable medium embodying a computer program product, the computer program product comprising instructions configured to cause a computing device to:

• determine one or more preliminary target sub-areas among a plurality of sub-areas that make up an area;
• obtain a trained model that is configured to generate a value for a first indicator based on one or more features related to each of the preliminary target sub-areas;
• obtain, for each of the one or more preliminary target sub-areas, feature information of the one or more features, at least part of the feature information being associated with a designated time;
• and
• determine a value of the first indicator at the designated time for each of the one or more preliminary target sub-areas based on the trained model and the feature information.