scholarly journals Study On Spatial Distribution Of Placenames Named In YI Nationality language In Yunnan Province

2016 ◽  
Author(s):  
Wujun Xi ◽  
Xiu Lu
Keyword(s):  
Spatial Distribution ◽  
Yunnan Province

scholarly journals Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery

2021 ◽  
Vol 13 (11) ◽  
pp. 2184
Author(s):  
Zhiqi Yang ◽  
Jinwei Dong ◽  
Weili Kou ◽  
Yuanwei Qin ◽  
Xiangming Xiao
Keyword(s):  
Spatial Distribution ◽  
Yunnan Province ◽  
Vascular Diseases ◽  
Panax Notoginseng ◽  
Traditional Herbal Medicine ◽  
Target Class ◽  
Object Based ◽  
The Government ◽  
Level Scale ◽  
Iteration Analysis

Plantations of Panax notoginseng (PN), traditional herbal medicine for the prevention and treatment of vascular diseases, are expanding rapidly in China, especially in the Yunnan province of China, due to its increasing demands and prices and causing dramatic environmental concerns. However, existing information on its planting area and spatial distribution are limited. Here, we mapped the PN planting area by using a new integrated pixel- and object-based (IPOB) approach, the Random Forest (RF) classifier, and the high-resolution ZiYuan-3 (ZY-3) imagery. We improved the procedures of classification in three aspects: (1) a new spectral index—Normalized Difference PN Index (NDPI)—was proposed, (2) the efficiency and scale of segmentation were optimized by using the Bi-level Scale-sets Model (BSM), and (3) feature variables were selected through an iteration analysis from 99 feature variables (spectral, textural, geometric, and geographic). Compared with the pixel- and the object-based methods, the IPOB has the highest F1 score of 0.98 and also has high robustness in terms of user and producer accuracies (97% and 99%, respectively), following by the object-based method (F1 = 0.94) and the pixel-based method (F1 = 0.93). The high accuracy was expected since the target class has very distinctive spectral and textural characteristics. Although all three approaches showed reasonably high accuracies due to the application of the NDPI and optimized procedures, the result showed the outperformance of the proposed IPOB approach. The framework established in this study expects to apply for regional or national PN surveys extensively. The information on the area and spatial distribution of PN can guide the government on policy making for the planting and exporting of traditional Chinese medicine resources.

scholarly journals Spatial Structure Characteristics of Slope Farmland Quality in Plateau Mountain Area: A Case Study of Yunnan Province, China

2020 ◽  
Vol 12 (17) ◽  
pp. 7230
Author(s):  
Zhengfa Chen ◽  
Dongmei Shi
Keyword(s):  
Spatial Distribution ◽  
Spatial Structure ◽  
Yunnan Province ◽  
Hot Spot ◽  
Mountain Region ◽  
Cold Spot ◽  
Structure Characteristics ◽  
Spot Area ◽  
Slope Farmland ◽  
Southern Fringe

As an important part of farmland, the slope farmland is widely distributed in the central and western plateau mountain region in China. It is necessary to scientifically evaluate the slope farmland quality (SFQ) and analyze the spatial structure characteristics of SFQ to ensure reasonable utilization and partition protection of slope farmland resources. This paper takes the typical plateau mountain region—Yunnan Province in China—as an example and systematically identifies the leading factors of SFQ. The sloping integrated fertility index (SIFI) is adopted to reflect the SFQ. The evaluation system is built to quantitatively evaluate the SFQ and the spatial structure characteristics of SFQ were analyzed by a geostatistical model, autocorrelation analysis and spatial cold–hot spot analysis. The results show that the SFQ indexes in Yunnan Province are between 0.36 and 0.81, with a mean of 0.59. The SFQ grade is based on sixth-class, fifth-class, seventh-class and fourth-class land. The SFQ indexes present a normal spatial distribution, and the Gaussian model fits well with the semi-variance function of the spatial distribution of SFQ indexes. Furthermore, the spatial distribution of SFQ indexes is moderately autocorrelated. The structural factors play a major role in the spatial heterogeneity of SFQ indexes, but the influence of random factors should not be ignored. The spatial distribution of SFQ grades has a significant spatial aggregation characteristic, and the types of local indicators of spatial association (LISA) are based on high–high (HH) aggregation and low–low (LL) aggregation. The cold spot and hot spot distributions of SFQ grades display the significant spatial difference. The hot spot area is mainly distributed in Central Yunnan and the Southern Fringe, while the cold spot area mainly distributes in the Northeastern Yunnan, Northwestern Yunnan and Southwestern Yunnan. This study could provide a scientific basis for SFQ management and ecological environment protection in the plateau mountain region.

Soil productivity in the Yunnan province: Spatial distribution and sustainable utilization

2015 ◽  
Vol 147 ◽  
pp. 10-19 ◽  
Author(s):  
Duan Xingwu ◽  
Rong Li ◽  
Zhang Guangli ◽  
Hu Jinming ◽  
Fang Haiyan
Keyword(s):  
Spatial Distribution ◽  
Yunnan Province ◽  
Soil Productivity ◽  
Sustainable Utilization

Species diversity and spatial distribution of Begonia L. (Begoniaceae) in the Daweishan Range, Yunnan Province, China

Phytotaxa ◽  
2019 ◽  
Vol 415 (1) ◽  
pp. 1-31 ◽  
Author(s):  
WEN-HONG CHEN ◽  
SU-HUA HUANG ◽  
AUNG AUNG ◽  
HUI-KUN YUAN ◽  
YU-MIN SHUI
Keyword(s):  
Spatial Distribution ◽  
Species Diversity ◽  
Geographical Distribution ◽  
Yunnan Province ◽  
Southwestern China ◽  
Floristic Diversity ◽  
Infraspecific Taxa ◽  
Distribution And Ecology

Seven sections and 50 species and infraspecific taxa of Begonia have been recorded in the Daweishan Range of Yunnan Province, southwestern China. This work aims to analyze the relationships between their geographical distribution and ecology, review their floristic diversity, and elucidate the abundance and horticultural value of Begonia resources in this region.

scholarly journals Inventory, Distribution and Geometric Characteristics of Landslides in Baoshan City, Yunnan Province, China

2020 ◽  
Vol 12 (6) ◽  
pp. 2433 ◽  
Author(s):  
Xiaoyi Shao ◽  
Siyuan Ma ◽  
Chong Xu ◽  
Lingling Shen ◽  
Yongkun Lu
Keyword(s):  
Spatial Distribution ◽  
Yunnan Province ◽  
Lower Boundary ◽  
Google Earth ◽  
Landslide Susceptibility Mapping ◽  
Slope Position ◽  
Large Set ◽  
Geologic Hazard ◽  
Geometric Characteristics ◽  
High Resolution Satellite Images

Inventorying landslides in mountainous areas is of great importance for prevention of geologic hazards. This study aimed to establish a detailed landslide inventory of Baoshan City, Yunnan Province, China, based on a large set of high-resolution satellite images from Google Earth. The landslides of this region were divided into two groups, i.e., recent landslides and old landslides. The spatial distribution and geometric characteristics of the two kinds of landslides were analyzed, respectively. Results show that 2427 landslides are present in the study area, including 2144 recent landslides and 283 old landslides with a total area of 7.2 km2 and 97.6 km2, respectively. The recent landslides occurred primarily at steep slopes with higher elevation, while old landslides took place at gentle terrains. For the slope position, most landslides, whether old or recent, cluster near ridges. The lower boundary of the recent landslides is far away from the valley, while the accumulation area of the old landslide is closer to the valley. The H/L (height to length) ratios are basically the same for all landslides, ranging from 0.2 to 0.5. Old landslides have larger mobility, as their travel distances are longer than recent landslides at the same height. The results would be helpful for further understanding the development and spatial distribution of the landslides in Southwest China, and also provide essential support for the subsequent landslide susceptibility mapping and geologic hazard assessment in this area.

scholarly journals Temporal-spatial distribution of euphotic depth and its influencing factors in Lake Chenghai, Yunnan Province, China

2019 ◽  
Vol 31 (1) ◽  
pp. 256-267
Author(s):  
LI Kaidi ◽  
◽  
ZHOU Yuanyang ◽  
ZHOU Qichao ◽  
DONG Yunxian ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Influencing Factors ◽  
Yunnan Province ◽  
Euphotic Depth ◽  
Lake Chenghai

scholarly journals Spatial distribution of HIV/AIDS in Yunnan province, People’s Republic of China

2011 ◽  
Vol 5 (2) ◽  
pp. 177 ◽  
Author(s):  
Zhi-Hang Peng ◽  
Yue-Jia Cheng ◽  
Kathleen H. Reilly ◽  
Lu Wang ◽  
Qian-Qian Qin ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Yunnan Province ◽  
People’S Republic Of China ◽  
People's Republic Of China ◽  
Republic Of China ◽  
Hiv Aids
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