36 results about "Socio economic data" patented technology

A system for providing a registered land asset includes a property transaction database in communication with a computer network the property transaction database provides information related to transactions associated with each registered land asset parcel, each land parcel having a registered land asset identifier representing global coordinates particular to the parcel. The system also includes a location characteristic database in communication with the computer network. The location characteristic database provides socioeconomic data regarding the location wherein the land parcel associated with the registered land asset is situated. A registered land asset contract may give a leaseholder an option to purchase the land by the end of a given term. A computer receives data from the property transaction database and the location characteristic database via the computer network and calculates prices and values associated with a registered land asset contract associated with the land parcel and a registered land asset contract is recorded in association with the land asset identifier corresponding to the land parcel in an electronic land title registry in communication with the computer network.

The invention discloses a statistical method and system for analyzing passenger flow characteristic information on the basis of a mobile communication terminal. The statistical method comprises the following steps: obtaining position information of the mobile communication terminal; performing historical accumulative counting on the position information of the mobile communication terminal to form a position information database; and according to population census and social and economical census data of areas under administration, provided by government departments at various levels, through combination with the position information database of the mobile communication terminal, analyzing the passenger flow statistical characteristic information of each area in corresponding time periods. According to the statistical method for analyzing the passenger flow characteristic information on the basis of the mobile communication terminal, acquired position information data is positioned by use of the mobile terminal and then statistical analysis of passenger flow information characteristics is performed through combination with the population census and social and economic data, such that the method is low in cost and high in accuracy, the sample quantity is large and is close to the quantity of total samples, and passenger flow statistical analysis of any one area in any period can be realized.

The present application provides a method and system for predicting suitable sports space, the method includes: generating urban environment factors based on the acquired urban environment data of the research area; wherein, the urban environment data includes: natural environment data and socioeconomic data; The natural environment data include: normalized difference vegetation index, land surface temperature data; the socio-economic data include: bus station data, subway station data, life service point of interest data, scenic spots interest point data, sports and leisure interest point data Point data, sidewalk data and building data; Based on the acquired motion trajectory data, a motion trajectory factor is generated; based on the maximum entropy model, according to the urban environment factor and the motion trajectory training factor in the motion trajectory factor, the motion suitability is generated Model; based on the exercise suitability model, according to the urban environment factors and the regional regular grid of the study area, the exercise suitability of the study area is obtained.

A balanced survey is automatically created in real time, that is, while potential survey participants are evaluated. A survey histogram is automatically re-balanced with each new entry accepted as a respondent. An individual fills out a questionnaire providing demographic and socio-economic data. A vector representation of that person, referred to as an entry, is created. A similarity value is calculated indicating the similarity between the vector representation and a histogram vector representing the make-up of the survey. The similarity value is calculated by taking a dot product of the entry vector representation and the histogram vector. The system then determines whether the similarity value is greater than a similarity threshold value. If the similarity value exceeds the threshold value, the entry vector is integrated into the histogram vector, that is, the individual becomes part of the survey group.