Abstract: Systems and methods are used for providing mapping, data management and analysis. Data for at least two different data sets can be accepted. A vector density analysis of each data set can be performed using: temporal analysis, intersection analysis, spatial concentration analysis, or spatial correlation analysis. Each loaded data set can rastorized. Each rasterized data set can be converted to a certain scale. A convolution operation can be performed on each converted data set. Convolution results can be applied to a color ramp. Each map can be created based on the color ramp and the convolution results. A combination map illustrating where the at least two different data sets intersects each other can be created. Proximity and magnitude of the at least two different data sets can be illustrated.

Abstract: A system and method for connecting a social network to a geospatial data repository, comprising: accepting geospatial data from a user; linking the geospatial data to the user in the social network; and allowing the geospatial data to be searched and/or combined with other geospatial data from the user or other users in the social network.

Abstract: Systems and Methods for mapping and analyzing networks are taught. Network line data is converted into point data. The point data is associated with cells of a grid overlaying the network. A number of points in each of the cells of the grid is determined. The number of points in one cell of the grid is compared to the number of points in other cells of the grid to determine the infrastructure in each of the cells of the grid. It is determined how the infrastructure in one cell is spatially related to the infrastructure in other cells in order to rank cell criticality. Cell criticality rankings are sequentially removed from the grid to determine consequential impact on network properties of the grid.

Abstract: A method for providing mapping, data management and analysis. Creation of a map is initiated with a desired Gaussian aggregation and desired color map parameters. Data is loaded to be utilized in the map. The data is rasterized, then converted to a certain scale. A convolution operation is performed on the data. The convolution results are applied to a color ramp, and the map is created based on the color ramp and the convolution results.

Abstract: A method for providing mapping, data management and analysis. Creation of a map is initiated with a desired Gaussian aggregation and desired color map parameters. Data is loaded to be utilized in the map. The data is rasterized, then converted to a certain scale. A convolution operation is performed on the data. The convolution results are applied to a color ramp, and the map is created based on the color ramp and the convolution results.