- The Space Time Pattern Mining toolbox contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D. + The Space Time Pattern Mining toolbox + contains statistical tools for analyzing data distributions and patterns in the context of both space and time. It includes a toolset for visualizing the data stored in the space-time netCDF cube in both 2D and 3D. - Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis. Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or low values as well as outliers that have values that are statistically different than their neighbors in space and time. The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and three dimensions. These visualization tools can be used to understand the structure of the cube, how the cube aggregation process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools. See Visualizing the Space Time Cube for strategies to allow you to look at cube contents. + Create Space Time Cube takes point datasets and builds a multidimensional cube data structure (netCDF) for analysis. + Emerging Hot Spot Analysis then takes the cube as input and identifies statistically significant hot and cold spot + trends over time. You might use the Emerging Hot Spot Analysis tool to analyze crime or disease outbreak data in + order to locate new, intensifying, persistent, or sporadic hot spot patterns at different time-step intervals. +
++ The Local Outlier Analysis tool takes the cube as input to identify statistically significant clusters of high or + low values as well as outliers that have values that are statistically different than their neighbors in space and time. +
++ The Utilities toolset enables you to visualize the data and analysis results stored in the space-time cube in two and + three dimensions.These visualization tools can be used to understand the structure of the cube, how the cube aggregation + process works, and to visualize the analytical results added to the cube by other Space Time Pattern Mining tools. + See Visualizing the Space Time Cube for strategies to allow you to look at cube contents.
+ NetCDF Extractor is a Windows software for viewing, converting, merging, and extracting + data from .nc and .nc4 files. It can extract several nc files simultaneously. When a user + wants to extract several files of nc format simultaneously, he/she requires to load them + at a same time: loading the files one by one will be a time consuming and tedious process + and prone to error. With this software the user can save time and quickly do the extract process. +
++ In addition, it has a calculator tool. By entering latitude and longitude of the desirable region + into the calculator, the user can view the grid number of that region +
++ In the latest version of NetCDF Extractor, Agrimetsoft has added two options:”Sum” and “Average”. + So, the user can easily calculate the average and sum values of the selected area (grids). Data is + shown in an organized table, and you can choose to export everything to Excel. This tool is flexible + to run for various datasets such as CMIP5 models, AgMERRA, Aphrodite, CRU, and etc.Agrimetsoft support + all the users until they can extract the data.