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 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.

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 computerized method for providing mapping, data management, and analysis. A user request for creation of a map with a desired Gaussian aggregation and desired color map parameters is received. Vector geographic data is loaded at the server. The vector geographic data comprises location data, and the location data comprises an attribute. The vector geographic data is rasterized to create image data composed of pixels. The image data is converted to a certain scale grayscale image data. A convolution operation is performed on the grayscale image data to provide an aggregation of the data using a kernel radius, wherein the kernel radius is adjusted in accordance with the desired zoom level. Convolution results are applied to a color ramp; the map for the location data is created based on the color ramp and the convolution results, and the map is provided to the user.