GEOPACK uses dynamic allocation of memory so that data sets with a wide range of variables and positions can be used without having to alter the program. A large storage array is partitioned based on the number of samples and variables so that there is little wasted space compared to defining the arrays to have a fixed number of samples and variable. One limitation is that GEOPACK allows a database (i.e., a data file) to contain a maximum of 10 variables plus their x and y positions and a sample or position number (the sample number must be a real number). During execution of GEOPACK, whenever additional storage space is required by a program, the space is obtained from the large storage array. If attempts are made to use more memory than is available, an error message is printed out giving the memory status. From this information, a decision can be made on how to reduce the memory requirements to allowable limits (i.e., reducing the number of variables or samples considered, etc.).

The GEOPACK system includes programs to do the more common statistical and geostatistical analyses. The system is estimation-oriented in that if the ordering in the menu system is followed, a grid of estimates for the selected variable in the data set will result.

A description of the various components of the system follows:

- Linear Regression
- Polynomial regression
- Kolomogorov-Smirnov test for distribution, and
- Calculating several percentiles of a selected data set (i.e., for a particular random function such as moisture content).
- GEOPACK can also directly access any commercially-available statistics package while running GEOPACK which allows the user to run more comprehensive statistical analyses contained in a commercially-available statistics package.

A model can be fitted to the sample semivariogram using the nonlinear least- squares fitting procedure. This provides a first estimate for the coefficients to be used in a cross-validation program and helps to automate the model-fitting procedure. If the least squares technique fails, or other information is available which should be included in the model-fitting process, the traditional iterative method of manually selecting the model coefficients and viewing a graph comparing the sample values to the model can be used.

GEOPACK data files must be created in the proper format. A text editor may be used to create or modify the data files. For GEOPACK to function properly, the data set must contain at the minimum:

- One (or more) spatially-dependent random variable(s) (i.e., soil temperature, moisture, hydraulic conductivity, concentration, etc.) and
- An x and y position for each value of the random variable(s).

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