基于敏感度排序的风景林色彩格局指数筛选

doi:10.11707/j.1001-7488.20210801

Abstract

Abstract:

Objective: The sensitivity of landscape pattern indices to color patterns of scenic forests was studied. And indices capable of characterizing landscape color patterns were selected, aiming to provide experimental supports and theoretical basis for studies of visual quality of colorful landscape forests. Method: Photos of scenic forest dominated by Cotinus coggygria var. cinerea taken in autumn were used in the research. An application for color quantification and classification was implemented using Python program, effective for data preparation in batch. Pre-selected indices were calculated in Fragstats software, and then hierarchical cluster analysis was performed in SPSS software. Sensitivity of indices to landscape color pattern changes related to color classification and viewing distance was calculated and used for indices ranking. Under the principles of covering most clusters and reducing information redundancy, indices were selected after performing independence tests and information overlaps check. Result: Seven indices, namely, number of patches, largest patch index, mean patch area, patch richness, mean nearest neighbor distance, mean perimeter/area ratio and modified Simpson's diversity index, which are sensitive to color classification and viewing distance, were selected from 24 pre-selected ones. They could be used to quantitatively characterize color patterns of scenic forests. Conclusion: The semi-automated procedures for color classification, which requires operator intervention during analytic process, simplify operations from color classification to index calculation, reduces time for data preprocessing and enhances the stability of the result. The proposed method for selecting color pattern indices based on sensitivity ranks, combined with independence test and information overlaps check, reduces errors caused by subjective selectior indices. And indices selected are effective to distinguish changes of color pattern caused by color classification and viewing distance, and possible to objectively and quantitatively analyze visual quality of scenic forest.

Key words: landscape color pattern, sensitivity, scenic forest, Cotinus coggygria var. cinerea, visual quality

CLC Number:

S731.3

Yujuan Cao,Chengyang Xu,Yaxue Ren,Xiarong Li. Selection of Color Pattern Indices of Scenic Forest Based on Sensitivity Ranks[J]. Scientia Silvae Sinicae, 2021, 57(8): 1-12.

Figures/Tables 13

Fig.1

Table 1

Five classifications of 256 colors"

色号 Color No.	30类分类号 Class No. of 30 classes	25类 25 classes		20类分类号 Class No. of 20 classes	15类分类号 Class No. of 15 classes	10类分类号 Class No. of 10 classes
色号 Color No.	30类分类号 Class No. of 30 classes	分类号 Class No.	分类名称 Class name	20类分类号 Class No. of 20 classes	15类分类号 Class No. of 15 classes	10类分类号 Class No. of 10 classes
23, 247, 231	1	1	浅红色Light red	1	1	1
11, 255, 15, 251	2	2	红色Red	1
10, 254, 14, 253, 13	3	3	深红色Dark red	2
27, 7, 30, 31	4	4	红橙色Reddish orange	3
25, 29, 5, 9	5	5	红褐色Reddish brown	4	2
22, 246, 238, 234, 230, 250	6	6	紫红色Purplish red	5
6	7	7	深紫红色Dark purplish red	5
43, 59, 39, 55, 63, 47	8	8	浅黄色Light yellow	6	3	2
74, 79, 75, 71, 78	9	9	黄色Yellow
58	10	9	黄色Yellow
57	11	10	黄绿色Yellowish green	7	4
73, 77	12	11	深黄绿色Dark yellowish green	8	5
90, 91, 94, 95, 106, 107, 110, 111, 122, 123, 126, 127, 102	13	12	绿色Green	9	6	3
86, 87, 103, 118, 119	14
85, 101, 105, 117, 109, 93, 121, 125, 89	15
54	16
70	17	13	灰绿色Greyish green	10	7
69	18	13	灰绿色Greyish green	10
53	19	14	深灰绿色Dark greyish green	11
150, 134, 137, 154	20	15	蓝绿色Bluish green	12	8	4
166, 182, 167	21	16	蓝紫色Bluish violet	12	8	4
38	22	17	浅棕色Light brown	13	9	5
42, 46, 62	23	18	棕黄色Tan	14	10	5
26	24	19	茶色Tawney	15	11	6
37, 21	25	20	褐色Brown	16
41, 45, 61	26	21	深褐色Dark brown	16
34, 50, 18, 33, 2, 66, 49, 17, 162, 65, 1, 146, 178, 226, 210, 242, 194, 81, 82, 130, 177, 98, 161, 163, 114, 225, 209, 35, 241, 97, 193, 19, 147, 3, 145, 129, 113, 179, 243, 227, 195, 211, 51, 67, 83, 99, 115, 131	27	22	灰色Gray	17	12	7
68, 72, 52, 36, 84, 64, 56, 80, 96, 88, 40, 20, 32, 100, 48, 4, 112, 0, 116, 160, 16, 128, 144, 208, 24, 176, 76, 224, 132, 8, 12, 28, 44, 60, 92, 104, 108, 120, 124, 136, 140, 148, 152, 156, 164, 168, 172, 180, 184, 188, 192, 196, 200, 204, 212, 216, 220, 228, 232, 236, 240, 244, 248, 252, 133, 141, 165, 169, 173, 149, 153, 157	28	23	黑色Black	18	13	8
155, 151, 159, 135	29	24	背景Background	19	14	9
171, 158, 138, 139, 142, 143, 170, 174, 175, 181, 183, 185, 186, 187, 189, 190, 191, 197, 198, 199, 201, 202, 203, 205, 206, 207, 213, 214, 215, 217, 218, 219, 221, 222, 223, 229, 233, 235, 237, 239, 245, 249	30	25	其他Other	20	15	10

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References 0

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指数 Index	缩写 Abbreviation	类型 Type	指数 Index	缩写 Abbreviation	类型 Type
斑块数量^① Number of patches	NP	面积 Area	景观形状指数^① Landscape shape index	LSI	形状 Shape
最大斑块指数^① Largest patch index	LPI		面积加权平均分维数^① Area-weighted mean patch fractal dimension	FRAC_AM
斑块面积方差^② Patch size coefficient of variation	AREA_CV		平均分维数^① Mean patch fractal dimension	FRAC_MN
平均斑块面积^② Mean patch area	AREA_MN		平均周长面积比^② Mean perimeter/area ratio	PARA_MN
斑块面积标准差^② Patch size standard deviation	AREA_SD		面积加权平均形状指数^① Area-weighted mean shape index	SHAPE_AM
总核心面积^① Total core area	TCA		平均形状指数^① Mean shape index	SHAPE_MN
平均核心面积^① Mean core area per patch	CORE_MN		总边缘长度^① Total edge	TE	边缘 Edge
平均最邻近距离^① Mean nearest neighbor distance	ENN_MN	离散性 Isolation	边缘密度^① Edge density	ED	边缘 Edge
蔓延度^① Contagion index	CONTAG	聚合性 Aggregation	斑块丰富度^① Patch richness	PR	多样性 Diversity
斑块内聚力指数^② Patch cohesion index	COHESION		Shannon’s均匀度指数^① Shannon’s evenness index	SHEI
聚合度^② Aggregation index	AI		Shannon’s多样性指数^① Shannon’s diversity index	SHDI
散布与并列指数^① Interspersion and juxtaposition index	IJI		修正Simpson’s多样性指数^① Modified Simpson’s diversity index	MSIDI

指数 Index	色彩分类敏感度 Sensitivity to color classification	观景距离敏感度 Sensitivity to viewing distance	敏感度综合排序 Average of ranks	最终排序 Final rank
斑块数量Number of patches	4.92	3.67	4.30	1
最大斑块指数Largest patch index	6.22	5.08	5.65	2
总边缘长度Total edge	9.50	1.83	5.67	3
斑块面积标准差Patch size standard deviation	3.85	7.75	5.80	4
平均斑块面积Mean patch area	4.42	8.42	6.42	5
平均核心面积Mean core area per patch	5.42	9.42	7.42	6
平均周长面积比Mean perimeter/area ratio	11.25	4.67	7.96	7
斑块丰富度Patch richness	2.17	14.58	8.38	8
斑块面积方差Patch size coefficient of variation	8.92	11.17	10.05	9
平均最邻近距离Mean nearest neighbor distance	14.67	6.17	10.42	10
面积加权平均形状指数Area-weighted mean shape index	8.42	12.83	10.63	11
边缘密度Edge density	9.50	14.75	12.13	12
修正Simpson’s多样性指数Modified Simpson’s diversity index	10.50	13.75	12.13	13
景观形状指数Landscape shape index	16.25	8.00	12.13	14
Shannon’s多样性指数Shannon’s diversity index	9.08	16.00	12.54	15
总核心面积Total core area	24.00	1.25	12.63	16
Shannon’s均匀度指数Shannon’s evenness index	15.33	17.00	16.17	17
蔓延度Contagion index	15.75	17.33	16.54	18
散布与并列指数Interspersion and juxtaposition index	15.67	19.08	17.38	19
聚合度Aggregation index	17.20	17.67	17.44	20
平均形状指数Mean shape index	21.33	20.83	21.08	21
面积加权平均分维数Area-weighted mean patch fractal dimension	20.33	22.17	21.25	22
斑块内聚力指数Patch cohesion index	20.42	23.42	21.92	23
平均分维数Mean patch fractal dimension	22.75	23.17	22.96	24

指数 Index	平均斑块面积 Mean patch area	平均核心面积 Mean core area per patch	斑块丰富度 Patch richness	平均最邻近距离 Mean nearest neighbor distance
平均斑块面积Mean patch area	1
平均核心面积Mean core area per patch	1.000^**	1
斑块丰富度Patch richness	-0.463	-0.463	1
平均最邻近距离Mean nearest neighbor distance	0.225	0.225	0.446	1

指数 Index	修正Simpson’s多样性指数 Modified Simpson’s diversity index	Shannon’s多样性指数 Shannon’s diversity index
修正Simpson’s多样性指数Modified Simpson’s diversity index	1
Shannon’s多样性指数Shannon’s diversity index	0.943^**	1

指数 Index	斑块数量 Number of patches	总边缘长度 Total edge	景观形状指数 Landscape shape index
斑块数量Number of patches	1
总边缘长度Total edge	0.964^**	1
景观形状指数Landscape shape index	0.965^**	0.948^**	1

Selection of Color Pattern Indices of Scenic Forest Based on Sensitivity Ranks

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指数 Index	最大斑块指数 Largest patch index	斑块面积标准差 Patch size standard deviation	斑块面积方差 Patch size coefficient of variation	面积加权平均形状指数 Area-weighted mean shape index
最大斑块指数Largest patch index	1
斑块面积标准差Patch size standard deviation	0.847^**	1
斑块面积方差Patch size coefficient of variation	0.853^**	0.895^**	1
面积加权平均形状指数Area-weighted mean shape index	0.924^**	0.956^**	0.943^**	1

指数 Index	平均周长面积比 Mean perimeter/area ratio	边缘密度 Edge density
平均周长面积比Mean perimeter/area ratio	1
边缘密度Edge density	-0.073	1

指数 Index	c		d
指数 Index	最大值 Max.	最小值 Min.	最大值 Max.	最小值 Min.
斑块数量Number of patches	0.72	0.41	0.79	0.72
最大斑块指数Largest patch index	0.75	0.42	0.77	0.44
平均斑块面积Mean patch area	0.53	0.41	0.59	0.53
斑块丰富度Patch richness	0.69	0.68	0.36	0.25
平均最邻近距离Mean nearest neighbor distance	0.71	0.17	0.74	0.66
平均周长面积比Mean perimeter/area ratio	0.71	0.22	0.76	0.71
修正Simpson’s多样性指数Modified Simpson’s diversity index	0.52	0.23	0.52	0.31

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