A dataset on spatial distribution and association patterns of three species from moist semi deciduous forest

Knowledge the spatial distribution and interspecific association patterns in tree species is essential in plant ecology to understand ecological mechanisms and dynamic process operating in spatial distribution of a tree population in a plant community. We measured and compiled datasets on three tropical tree species from a moist semi deciduous forest. We used the software Programita to perform univariate and bivariate point pattern analysis by Ripley's L-function. These datasets can be used to inform on possibilities of interaction of these species in forest stands. These datasets can be also used to access the capacity of each tree of Mansonia altissima var. altissima A. Chev. to be develop and grow or its exclusion probability within a plant community.