Geovariances: Where no one has gone before

 Overview

Isatis is a fully integrated and operational geostatistical package which offers geoscientists a wide range of tools for in-depth data analysis, estimation and risk analysis.

Its interfaces with standard data formats (Excel, GIS, etc.) allow you to easily integrate Isatis in your day-to-day workflow.

 Benefits

• Valuate your data by a secure quality process
• Optimize your sampling strategies and investigation costs
• Take advantage of multiplicity of data sources
• Get accurate and reliable mapping
• Quantify the uncertainties and assess the risks
• Automatically update your communication media

 Solutions

• Increase data value by a secure quality process
  
  
  • Investigate and clean your data with Isatis unique Exploratory Data Analysis interactive module.
  • Identify and handle data anomalies and anisotropies using appropriate statistical representations (basemap, histogram, q-q plot, variogram map).
  • Identify homogeneous areas.
  • Combine all available information into a single database (diffusive sampling campaigns, automatic measurement stations, mobile laboratory).
  • Optimize your sampling strategy and investigation costs.

• Get a reliable mapping of the pollution
  
  
  • Characterize the spatial behavior of your pollutant concentrations through variogram analysis.
  • Take the sampling representativity and measurement errors into account.
  • Compute accurate maps using appropriate kriging algorithms and variogram models.
  • Assess the precision of your map with the kriging variance.
  • Refine your pollutant map using correlated pollutants data and indirect information (meteorology, topography, soil occupation, traffic density, industrial emissions).
  • Take advantage of the multiplicity of information sources, including meteorological and pollution forecast models.
  • Map the pollutant at a local, regional or national scale.

• Assess the population exposure
  
  
  • Compute the probability of exceeding a pollutant threshold over a given period (day, week, year) using non linear techniques.
  • Get the probability distribution of the number of inhabitants exposed to a pollution above regulatory limits from the stochastic simulations.

• Automatically update your communication media
  
  
  • Periodically collect data and generate maps using Isatis batch procedures.
  • Update maps for communication via the internet.