Kartotrak controls data quality

Kartotrak controls data quality You need to be confident with data quality to expect reliable results: Kartotrak offers high-value exploratory data analysis tools for an in-depth control of your data.

- Kartotrak provides an integrated database for the storage of 2D and 3D data with:

  • Easy import of 2D (surface data) or 3D (borehole data) datasets through csv files or copied from Excel sheets.
  • Three-level database organization (acquisition, raw, validated data) making the addition of new samples in an existing project easy and safe.
  • Simple validation process for the cleaning of newly acquired or imported dataset before added it to the current project:
    - data declustering,
    - edition of sample values under an instrumental detection limit,
    - identification of duplicate samples.
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Kartotrak displays data in clear spreadsheets facilitating value edition or sample removal

- Kartotrak offers Exploratory Data Analysis tools gathering interconnected statistical and geostatistical representations (basemaps, histograms, distribution curves, cross plots, variograms) allowing to:

  • Interactively explore data variability and spatial relationship,
  • Analyze the correlation between the main pollution and a secondary one or any other variable loaded in the project,
  • Identify outlier values.
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Kartotrak interconnected statistics and geostatistics graphics are used to identify aberrant values and outliers
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Training catalog Training

La Geoestadística para la estimación de recursos

November 16 - 20, 2015

Los fundamentos de los principales conceptos y técnicas usados en la geoestadística minera - Curso de 5 días.

Fundamentals of Mineral Resource Estimation

January 11 - 13, 2016

January 18 - 20, 2016

March 14 - 16, 2016

Learn how to perform resource estimation in an efficient way - 3-day fundamentals course

Advanced Mineral Resource Estimation

January 14 - 15, 2016

March 9 - 11, 2016

Go beyond geostatistics fundamentals and learn how to improve your mineral resource estimation with multivariate and non-linear geostatistics - 2-day advanced course


All events Event

Webinar: Estimating resources at SMU scale: the use of Localized Multivariate Uniform Conditioning

December 1, 2015

Learn how Uniform Conditioning and its post-processing LUC/LMUC deliver predictions of the local distributions of SMUs (selective mining units) within larger panels conditional to neighbouring information, paving the way for powerful resource charac...

Webinar: Optimize your estimation parameters with Kriging Neighborhood Analysis

December 8, 2015

In less than half-an-hour, learn why correctly defined search neighborhoods are essential to the estimation process and how they help to reduce the risk of conditional bias (overestimation of high grades and underestimation of low grades), to manage...

Minestis, the Route to Resource Estimates

December 14, 2015

Descubra o porquê e como o Minestis simplifica a estimativa de recursos. Por meio de uma abordagem geoestatística simplificada e segura, o Minestis possui um workflow rápido e seguro para que você obtenha uma modelagem e avaliação de recursos eficie...

Uniform Conditioning Seminar

January 21 - 22, 2016

Resulting from the agreement giving exclusive access to Isatis’ geostatistical algorithms to Datamine, Geovariances and Datamine will co-host a Uniform Conditioning seminar in Johannesburg in January 2016.

Séminaire: l’Approche Géostatistique pour la Caractérisation de Sites et Sols Pollués

February 4, 2016

Découvrez comment les méthodes géostatistiques vous aident à mieux cerner et maîtriser les risques liés à votre chantier de dépollution. Séminaire conjoint eOde/Geovariances.


February 16 - 18, 2016

Our specialist in radiological charaterization Yvon Desnoyers is chairman of Session 7: Best practices in characterisation of material and waste - Thursday 28 Feb. 8:30-11:00 a.m.