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Journal of Chinese
            Architecture and Urbanism                                           Cultural heritage in monastic settlements



            3.4. Methods                                           influences the selection of the minimum patch size.

            3.4.1. Selection of landscape indices                  It is a key indicator of landscape fragmentation and
                                                                   heterogeneity.
            Landscape pattern refers to the spatial relationships   (vi).  Area-weighted mean patch fractal dimension
            between elements, particularly in relation to the size,   (AWMPFD)
            shape, number, and types of ecosystems (Royal & Mark,      AWMPFD  is  an  important  indicator  of  the  overall
            2006). Landscape patterns are closely related to spatial   landscape pattern, also reflecting the impact of

            heterogeneity and are highly scale dependent. Due to this   human  activity.  Natural  landscapes  with  minimal
            reason, spatial analysis methods and landscape pattern   human disturbance typically exhibit higher fractal
            indices have been developed to quantitatively assess   dimensions, whereas landscapes with significant
            and analyze landscape patterns. These indices reflect   human impact show lower values.
            the interrelationships  between landscape structure
            and functional processes, providing a foundation for   (vii). Aggregation index (AI, %)
            guiding the development of landscape patterns (Deng,      This index measures the connectivity between
            2007). The study of landscape patterns relies on various   patches of the same landscape type. Lower values
            landscape pattern indices that are selected to reflect   indicate a more fragmented landscape.
            the fundamental aspects of landscape structure (He &   (viii). Interspersion and juxtaposition index (IJI, %)
            Zhou, 2008).                                           This index describes the spatial distribution of patches
                                                                   and is crucial for understanding how ecosystems are
              In this study, we conducted analyses at two levels:   severely constrained by certain natural conditions.
            The overall monastic settlement and the individual     Lower values indicate that a patch type is adjacent to
            monastic settlement. Based on the study’s scope, the   fewer other patch types, indicating less interspersion.
            analysis primarily focused on patch-type-level indices   (ix).  Total landscape area (ha)
            and landscape-level indices (Wu & Yu, 2007). The specific      This index defines the total area of the landscape,
            indices selected include the area of the patches (AREA),
            the number of patches (NP), and Shannon’s evenness index   setting the upper boundary for the scale of the
            (SHEI). The necessary calculations for these indices were   analysis.
            performed using Fragstats (Zhou, 2018).            (x).  Landscape shape index (LSI)
                                                                   An LSI value of 1 indicates a simple landscape shape
            3.4.2. Meaning of the landscape index                  with only one square patch, while higher values result

            The following landscape indices are used to quantify   from  increased  edge  lengths  or complex,  irregular
            various aspects of landscape structure, composition, and   patch shapes.
            spatial configuration, providing insights into landscape   (xi).  SHEI
            fragmentation, diversity, and connectivity.            A value of 1 indicates a completely homogeneous
                                                                   landscape, where all patch types occupy equal areas.
            (i).  NP, pieces                                       A  value of 0 means there is no diversity, with one
                This index refers to the total NP of a particular   patch type dominating. The smaller the value, the
                landscape type.                                    more dominant one patch type is; higher values
            (ii).  Class area (CA, ha)                             suggest a more homogeneous distribution of patch
                The total area of a specific patch type is calculated in ha.  types (Yang et al., 2013; Zhang, 2010).
            (iii).  Patch density (PD, pieces/100 ha)
                Patch density expresses the NP per 100 ha, reflecting   (xii). Shannon’s diversity index (SHDI)
                both the overall landscape heterogeneity and       An SHDI value of 0 indicates that there is only one
                fragmentation, as well as the degree of fragmentation   patch type, implying no diversity. As the SHDI value
                of a certain patch type.                           increases, so does the landscape’s diversity.
            (iv).  Percent of landscape                        (xiii). Contagion index (CONTAG, %)
                This index represents the proportion of the total area      Low values of CONTAG indicate the presence of
                occupied by each patch type. A value approaching 0%   many small patches, while values close to 100 suggest
                indicates a decrease in that patch type, while a value   high connectivity among dominant patch types. This
                of 100% indicates that the entire landscape consists of   index measures the degree of clustering or spread of
                only one type of patch, making it dominant.       different patch types, with higher values signifying
            (v).  Mean of patch area (AREA_MN)                    better connectivity of dominant patch types and lower
                This index measures the average patch size. It    values indicating a more fragmented with a dense
                constrains the range of the image or map and      pattern of multiple elements.


            Volume 6 Issue 4 (2024)                         3                        https://doi.org/10.36922/jcau.2503
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