AnalyticDB

Note

New in v3.1.0.

If the values for a field can be described by an analytic function, such as a polynomial f(x) = a * x + b, then you should use an AnalyticDB. In addition to the analytical expressions for the fields, you also need to provide the name and units for each field, and the coordinate system (the default is CSCart).

Pyre User Interface

See AnalyticDB component.

Examples

We create an AnalyticDB specifying a displacement field composed of polynomial functions.

C++

Listing 13 Creating an AnalyticDB using C++.

// Data to populate AnalyticDB.
const size_t numValues = 2;
const char* names[numValues] = { "displacement_x", "displacement_y" };
const char* units[numValues] = { "cm", "cm" };
const double expressions[numValues] = {
     "2.0 * x^2 - 1.5 * y + 5.0", 
     "7.5 * y^2 + 4.8 * x + 2.0 * y + 1.5",
      };
spatialdata::geocoords::CSCart cs;
cs.setSpaceDim(2);

// Create AnalyticDB 'db; and set the values.
spatialdata::spatialdb::AnalyticDB db;
db.setCoordSys(cs)
db.setData(names, units, expressions, numValues);

Python

Python applications should use the Pyre framework for creating the AnalyticDB. We show how to do it programmatically in Python for completeness.

Listing 14 Creating a AnalyticDB using Python.

from spatialdata.spatialdb.AnalyticDB import AnalyticDB
db = AnalyticDB()
db.label = "Analytic spatial database for displacement field"
db.values = ["displacement_x", "displacement_y"]
db.units = ["cm", "cm"]
db.expressions = ["2.0 * x^2 - 1.5 * y + 5.0", "7.5 * y^2 + 4.8 * x + 2.0 * y + 1.5"]
db._configure()