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040 _aDLC
_cUPMin
_dupmin
041 _aeng
090 0 _aLG993.5 2010
_bC6 B75
100 _aBrion, Raymond Bryan S.
_9820
245 _aEnhanced graphical user interface and batched-upload data input for measuring diversity using double principal coordinate analysis and Rao DIVC and DISC /
_cRaymond Bryan S. Brion
260 _c2010
300 _a78 leaves.
502 _aThesis (BS Computer Science) -- University of the Philippines Mindanao, 2010
520 3 _aRao?s quadratic entropy is the only ecological diversity index reflecting both species difference and abundance. Based on it, Pavoine et.al.(2004) developed a new ordination method called double principal coordinate analysis (DPCoA) that provides a graphical ordination of communities. The DPCoA, Rao DIVC and Rao DISC functions are available in the ade4 package of R. However, R has a command line interface, which cause difficulties to new users. Its input is prone to human errors that are not easily detectable. So, this study developed a system for measuring diversity using Rao?s Quadratic Entropy and an enhanced GUI for DPCoA. Here, spreadsheets and batch loading were used for data input. This system allows data input using spreadsheets and batch loading, computes the Rao DIVC and Rao DISC of communities, provides an enhanced graphical representation of DPCoA, displays an organization of results and saves these for future use. Both Microsoft Excel and ODF Spreadsheets are accepted as input. The user could opt to use recently uploaded spreadsheets. The software displays organized results with ease of access. The enhanced DPCoA graphs allows the user to zoom in. furthermore, the species and community points in the graph are easily distinguishable because they are of different shapes and colors.
650 1 7 _aDouble principal coordinate analysis
_9821
650 1 7 _aR software
_9822
650 1 7 _aRao diversity coefficient and dissimilarity coefficient
_9823
650 1 7 _aSpreadsheets
_9824
658 _aUndergraduate Thesis
_cCMSC200,
_2BSCS
905 _aFi
905 _aUP
942 _2lcc
_cTHESIS
999 _c2468
_d2468