541-0313/07 – Environmental Informatics (EnvInf)

Gurantor departmentDepartment of Geological EngineeringCredits5
Subject guarantorDoc. PaedDr. Vladimír Homola, Ph.D.Subject version guarantorDoc. PaedDr. Vladimír Homola, Ph.D.
Study levelundergraduate or graduateRequirementChoice-compulsory
Study languageCzech
Year of introduction2017/2018Year of cancellation2019/2020
Intended for the facultiesHGFIntended for study typesBachelor
Instruction secured by
LoginNameTuitorTeacher giving lectures
HOM50 Doc. PaedDr. Vladimír Homola, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Graded credit 2+2

Subject aims expressed by acquired skills and competences

To explain the current trends of (particularly environmental) data processing, to understand the differences between (in the general geo-) data and the data of the everyday life, to describe the tools of non-standard statistics.

Teaching methods



The first topic is concerning about data organization in computer environment. The data by herself are described, regarding to data presentation, real-world data conversion, and computer data types. Next, the logical data organization is presented by two data structure models: hierarchical and relational. In this topic we can see: data structure storing and retrieving, virtual structures creating, sorting and indexing. In practical part of this subject, the software for inputting, editing and information generating is presented. The aim is geosciences data applications, and Internet information pages creation and utilization.

Compulsory literature:

There is no mandatory literature in English.

Recommended literature:

Barnett, V.: Environmental Statistics: Methods and Applications. John Wiley & Sons, London, 2003. Piegorsch, W. W. - Bailer, A. J.: Analyzing Environmental Data. John Wiley & Sons, London, 2005.

Way of continuous check of knowledge in the course of semester


Other requirements

Student solves continuously defined tasks according to discussed topisc.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

Lectures: The sources of environmental data and their formats. The issue of data collection, standardization and formalization of geoscientific data. Methods of presentation of data: numeric, text, semigraphic, and graphics. Environmental data and methods for modeling in a computer environment. Relationship between geographic and environmental data. Analysis of environmental data with regard to their use in information systems. Basic geostatistical calculations and the results link to environmental data. Estimation of three-dimensional data with respect to the presentation in information systems. The issue of map coordinate systems in environmental tasks. Other selected topics in computer science for application in practical, innovative information. Practices: Hardware implementation of information systems. Classification of computer systems. Characteristics of hardware: CPU, peripherals. Special terminals. Modeling data information structures in the environment of a given database system. The basic functions of database systems. Definition of database, adding data and keep them up to date. Links between databases. Index tables. Creating virtual data and information structures. Using virtual data structures, searching data and selecting information. Application databases in information systems. Import and export data. Verification of the type of statistical distribution. Basic statistical analysis. Analysis of the dependency variables, correlation and regression analysis. Analysis of vector data. Multivariate statistical analysis of data. Structural geostatistical analysis. Analysis of anisotropy. Geostatistical global estimates. Computer kriging. Presentation of the results of data analysis, particularly with regard to output and graphic formats available on the Internet.

Conditions for subject completion

Full-time form (validity from: 2017/2018 Winter semester, validity until: 2019/2020 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Graded credit Graded credit 100  51
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2019/2020 (B2102) Mineral Raw Materials (3904R028) Environmental Biotechnology P Czech Ostrava 3 Choice-compulsory study plan
2018/2019 (B2102) Mineral Raw Materials (3904R028) Environmental Biotechnology P Czech Ostrava 3 Choice-compulsory study plan
2017/2018 (B2102) Mineral Raw Materials (3904R028) Environmental Biotechnology P Czech Ostrava 3 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner