Web server and method for hosting a web page for presenting location based user quality data related to a communication network

1. A method to form a predictive composite score,

comprising:

retrieving geographically based wireless networking performance data from a first computing device, the geographically based wireless networking performance data derived from at least one mobile device;

temporally averaging at least some of the geographically based wireless networking performance data;

spatially averaging at least some of the geographically based wireless networking performance data, the spatial averaging including applying a full weighting factor to a first portion of the geographically based wireless networking performance data associated with a first geographic region, applying a partial weighting factor to a second portion of the geographically based wireless networking performance data associated with at least one second geographic region adjacent to the first geographic region, and applying a light weighting factor to a third portion of the geographically based wireless networking performance data associated with at least one third geographic region not adjacent to the first geographic region, wherein the partial weighting factor is lower than the full weighting factor, and wherein the light weighting factor is lower than the partial weighting factor; and

geostatistically combining the temporally and spatially averaged geographically based wireless networking performance data to form the predictive composite score, the predictive composite score being a forecast of expected performance quality of a wireless communication network in the first geographic region.

2. The method to form a predictive composite score of claim 1 wherein the predictive composite score predicts a confidence with which a wireless call can be successfully connected.

3. The method to form a predictive composite score of claim 1 wherein the predictive composite score predicts a confidence with which a wireless call will remain connected through one or more handoffs.

4. The method to form a predictive composite score of claim 1 wherein the predictive composite score predicts a confidence with which a certain data rate can be achieved.

5. The method to form a predictive composite score of claim 1 , comprising:

retrieving additional geographically based wireless networking performance data from the first computing device, the additional geographically based wireless networking performance data derived from at least one second mobile device, the at least one second mobile device different from the at least one mobile device;

temporally averaging at least some of the additional geographically based wireless networking performance data;

geostatistically combining the temporally averaged additional geographically based wireless networking performance data to form a second predictive composite score, the second predictive composite score being a forecast of expected performance quality of a second wireless communication network in the first geographic region; and

providing the predictive composite score and the second predictive score to a second computing device.

6. The method to form a predictive composite score of claim 1 wherein geostatistically combining the temporally averaged geographically based wireless networking performance data includes executing a kriging algorithm.

7. The method to form a predictive composite score of claim 6 wherein executing the kriging algorithm includes applying at least one weighting factor based on a distance between geographic points where the geographically based wireless networking performance data has been collected.

8. The method to form a predictive composite score of claim 1 wherein geostatistically combining the temporally averaged geographically based wireless networking performance data includes executing at least one of a kriging algorithm, a spatio-temporal averaging algorithm, and a modeling algorithm.

9. The method to form a predictive composite score of claim 8 wherein executing the spatio-temporal averaging algorithm includes averaging a set of collected data over geographic space and over time, wherein the set of collected data is weighted based on a distance between a geographic point of interest and a geographic area where each datum of the set of collected data was collected, and wherein each datum of the set of collected data is weighted based on a time that the datum was collected.

10. A non-transitory computer readable medium comprising content that configures a computing device to perform acts comprising:

retrieving a set of geographically based wireless networking performance data derived from at least one mobile computing device;

parsing the set of geographically based wireless networking performance data according to a set of key performance indicators;

spatially averaging at least some of the geographically based wireless networking performance data, the spatial averaging including applying a full weighting factor to a first portion of the geographically based wireless networking performance data associated with a first geographic region, applying a partial weighting factor to a second portion of the geographically based wireless networking performance data associated with at least one second geographic region adjacent to the first geographic region, and applying a light weighting factor to a third portion of the geographically based wireless networking performance data associated with at least one third geographic region not adjacent to the first geographic region, wherein the partial weighting factor is lower than the full weighting factor, and wherein the light weighting factor is lower than the partial weighting factor; and

generating a predictive composite score that represents an estimation of wireless network performance quality of a wireless network in the first geographic region from at least some of the key performance indicators, the predictive composite score formulated by mathematically combining the spatially averaged geographically based wireless networking performance data.

11. The non-transitory computer readable medium of claim 10 wherein the predictive composite score estimates a confidence with which a wireless call can be successfully connected.

12. The non-transitory computer readable medium of claim 10 wherein the predictive composite score estimates a confidence with which a certain data rate can be achieved.

13. The non-transitory computer readable medium of claim 10 further comprising content that configures a computing device to perform acts comprising:

parsing a second set of geographically based wireless networking performance data according to a second set of key performance indicators; and

generating a second predictive composite score that represents an estimation of wireless network performance quality of a second wireless network associated with the same geographic area.

14. The non-transitory computer readable medium of claim 10 wherein generating the predictive composite score includes executing at least one of a kriging algorithm, a spatio-temporal averaging algorithm, and a modeling algorithm.

15. A method to predict a performance quality of a wireless communication network, comprising:

assigning boundaries to a plurality of geographic areas;

retrieving a set of wireless networking performance data associated with the plurality of geographic areas, the set of wireless networking performance data derived from at least one mobile device;

spatially aggregating the set of wireless networking performance data, the spatial aggregating including applying a full weighting factor to a first portion of the geographically based wireless networking performance data associated with a first geographic area of the plurality of geographic areas, applying a partial weighting factor to a second portion of the geographically based wireless networking performance data associated with at least one second geographic area adjacent to the first geographic area, and applying a light weighting factor to a third portion of the geographically based wireless networking performance data associated with at least one third geographic area not adjacent to the first geographic area, wherein the partial weighting factor is lower than the full weighting factor, and wherein the light weighting factor is lower than the partial weighting factor; and; and

geostatistically calculating a predictive composite score from the spatially aggregated data, the predictive composite score representative of predicted wireless networking performance quality in the first geographic area of the plurality of geographic areas.

16. The method to predict a performance quality of a wireless communication network of claim 15 wherein the predictive composite score predicts a confidence with which a wireless call can be successfully connected.

17. The method to predict a performance quality of a wireless communication network of claim 15 wherein the predictive composite score predicts a confidence with which a wireless call will remain connected through one or more handoffs.

18. The method to predict a performance quality of a wireless communication network of claim 15 wherein the predictive composite score predicts a confidence with which a data rate above a selected threshold can be achieved.

19. The method to predict a performance quality of a wireless communication network of claim 15 , comprising:

geostatistically calculating a second predictive composite score from a second set of spatially aggregated data, the second predictive composite score representative of wireless networking performance quality of a second wireless communication network in the first geographic area.

20. The method to predict a performance quality of a wireless communication network of claim 15 , comprising:

geostatistically calculating a plurality of predictive composite scores, each one of the plurality of predictive composite scores representative of wireless networking performance quality in a different geographic area of the plurality of geographic areas.