By Glen D. Johnson
This e-book offers a brand new strategy for assessing spatial trend in raster land conceal maps in response to satellite tv for pc imagery in a manner that includes a number of pixel resolutions. this is often mixed with extra traditional single-resolution measurements of spatial development and straightforward non-spatial land hide proportions to evaluate predictability of either floor water caliber and ecological integrity inside watersheds of the kingdom of Pennsylvania (USA).
Read Online or Download Landscape Pattern Analysis for Assessing Ecosystem Condition (Environmental and Ecological Statistics) PDF
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This publication provides a brand new approach for assessing spatial trend in raster land conceal maps in accordance with satellite tv for pc imagery in a manner that comes with a number of pixel resolutions. this can be mixed with extra traditional single-resolution measurements of spatial development and straightforward non-spatial land disguise proportions to evaluate predictability of either floor water caliber and ecological integrity inside watersheds of the country of Pennsylvania (USA).
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Additional info for Landscape Pattern Analysis for Assessing Ecosystem Condition (Environmental and Ecological Statistics)
Along with the single-resolution variables, conditional entropy profiles were also obtained. 1) where y equals the conditional entropy and x equals the resolution, represented by the power of 2 of the unit length of a pixel side. In other words, a value of a; = 0 represents the floor resolution, x = 1 represents a doubling of the floor resolution pixels, x = 2 represents a quadruphng, etc. Here, the parameters B and A measure the rate and overall amount, respectively, of information loss and the parameter C is the asymptotic maximum attainable conditional entropy.
1. 3. The resulting dendrograms had very coherent structure that allowed ready separation of watersheds into distinct clusters. Watersheds of a common cluster had very similar land cover patterns that were visually distinct from patterns for other clusters. This resulted in labeling of the clusters by the degree and type of forest fragmentation. 7. 12- &ii,'.. v. % t . '*. HERB * • , 0 00" A € 'ff fe- •ill' 4, m^ • . -. 1. 55 ••^. , A ^ ^ s . •4. 4 Figure 4-3. 1. ment. These watersheds actually appear worse than those encompassing the cities of Philadelphia and Pittsburgh.
Those with exactly two distinct colors) can be further classified into two subtypes depending on whether the two colors are distributed among the four pixels in a SOSO split or a i - | spht. 2 Hsts the five different types of 4-tuples s and the corresponding values of Qs for a natural logarithm. The second column of the table gives a canonical permutation of the components of s for each type. nj^ respectively. »1 _ if M . 562 Y. typeS ^:type2b ^i"+^' +1-386 Y S:type4 ^i"^^' • (2-14) Chapter 3 ILLUSTRATIONS The methods for obtaining empirical conditional entropy profiles that were discussed in the last chapter are illustrated in this chapter.