Tutorial 02

Intro

Here is a tutorial outlining a work that details the different stages from data import to interpolation definition and its application.

Data come from the following article. Terrigenous input off northern South America driven by changes in Amazonian climate and the North Brazil Current retroflection during the last 250 ka.
Clim. Past, 10, 843–862, 2014
www.clim-past.net/10/843/2014/
doi:10.5194/cp-10-843-2014

-- Prepared by Aline Govin (LSCE)

Data Import

Import Cibicides data (d180 and d13C) from GeoB3938-1_Data.xlsx

Copy with a Ctrl+C (use down arrow to select all rows). Note that we use the X,Y1,Y2 format. Open the Import data window from PyAnalySeries and paste the data. Then push 'Import series'.

Do the the same with the XRF data.

Visual checkings

At this stage, you should have a worksheet (WS) as following:

You can plot individually the different series. You may also find convinient to plot them stacked, use 'Edit / Display Stacked'. Note that there is a limit of 8 series in the same window.

Define the Interpolation

Import pointers

Now import

Complete by adding more pointers

Apply the Interpolation

Visualization

Sampling vs Interpolation