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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Drainage Network ♦ Various Martian Location ♦ Drainage Net-works ♦ Morphological Interpretation ♦ Mola Topo-graphical Data ♦ Geological Unit ♦ Particular Cluster ♦ Topographical Basin ♦ Major Geological Unit ♦ Emergent Classification ♦ Algorithmic Classification ♦ Numerical Description ♦ Clustering Algorithm ♦ Classification Purpose ♦ Group Network
Abstract Abstract. We present an algorithmic classification of drainage networks on Mars. Altogether, 368 drainage net-works were computationally extracted using MOLA topo-graphical data from various martian locations covering 16 major geological units. The classification is quantitative and objective, as it is based on a numerical description of drainage networks. Applying a clustering algorithm to our dataset, we have found that the networks can be best divided into 9 clus-ters. These clusters are separated from each other, so they can be used for classification purposes. Our partition does not correlate with an existing division into geological units. A morphological interpretation for this emergent classification is still been developed. One particular cluster was studied in de-tail, and we have determined that it groups networks overlaying landscapes dominated by topographical basins.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article