Abstract
By the example of interpreting the data of the granulometric composition of chernozems of ordinary carbonate soil data centers of the Rostov region, a system of principles for working with large data sets is proposed: Logical and terminological analysis → Contextuality of data → Verification and confirmation of data → Completeness of information → Systematization and generalization (obtaining information of a higher order). Each of these principles in one form or another, not necessarily under these names, has been applied and is being applied in scientific research, including in soil science. We propose to use them in the form of a hierarchical system when working with data center materials without fail. Keywords: PARTICLE-SIZE DISTRIBUTION, DATABASE, CHERNOZEM ORDINARY CARBONATE, INTERPRETATION PRINCIPLES
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
