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学者姓名：涂平
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CONTEXT: Long-term historical information on national -scale grain production is critical for ensuring food security but often limited by the lack of geospatial data. OBJECTIVE: This study aims to conduct the first systematic investigation of grain Cropping Patterns (CP) in China over the past two decades, shedding light on the roles of grain expansion and intensification in sustainable agriculture. METHODS: This study proposes a framework to fully characterize grain production patterns considering crop types, cropping intensity and patterns based on spatiotemporal continuous ChinaCP datasets (2005-2020). Four indicators were developed for measuring the Reality to Capability Ratio (RCR) of grain production regarding the total yield and sow area, the cropland extent and cropping intensity. The capability of grain production was derived based on grain cultivation history. RESULTS AND CONCLUSION: There was a huge gap between the reality and capability of grain production in China, which varied with grain crop types and cropping patterns. At national level, a vast majority (96%) of cropland was capable of grain production, and two fifths of cropland quantified for double grain cropping. However, only 46.65% and 24.89% of the capability was implemented for grain or double -grain cropping in 2020. Maize, rice, and wheat was ever cultivated in 76.88%, 57.05%, and 25.18% of national cropland, respectively. Winter wheat plays an important role in stabilizing grain production by double grain cropping, accounting for 7/8 continuously grain -cultivated areas. However, the RCR of double rice was only 7% in 2020. Bridging these gaps could potentially triple grain production, however, achieving this increase poses challenges due to a series of constraints related to cropland fraction, topographic conditions and lack of agricultural labors along with rapid urbanization. This study found that there was a continuous Northeastward movement & countryside shift in grain production. Continuous support for long-term active agricultural systems is crucial to ensure sustainable grain production in China, with a special emphasis on key grain productive regions, considering targeted cropping patterns and regional disparities. SIGNIFICANCE: This study enhances our understanding of grain production systems in China based on long-term cultivation histories. Findings can inform the development of more geographic -targeted policies concerning grain cropping intensifications to ensure food security and environmental sustainability in developing countries. The long term spatiotemporal continuous CPChina datasets during 2005-2020 was are publicly accessed at: https ://doi.org/10.6084/m9.figshare.25106948.
Keyword ：
China China Cropping patterns Cropping patterns Grain security Grain security Non-grain production Non-grain production Spatiotemporal process Spatiotemporal process
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| GB/T 7714 | Qiu, Bingwen , Jian, Zeyu , Yang, Peng et al. Unveiling grain production patterns in China (2005-2020) towards targeted sustainable intensification [J]. | AGRICULTURAL SYSTEMS , 2024 , 216 . |
| MLA | Qiu, Bingwen et al. "Unveiling grain production patterns in China (2005-2020) towards targeted sustainable intensification" . | AGRICULTURAL SYSTEMS 216 (2024) . |
| APA | Qiu, Bingwen , Jian, Zeyu , Yang, Peng , Tang, Zhenghong , Zhu, Xiaolin , Duan, Mingjie et al. Unveiling grain production patterns in China (2005-2020) towards targeted sustainable intensification . | AGRICULTURAL SYSTEMS , 2024 , 216 . |
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Previous traffic flow prediction studies have utilized spatio-temporal neural networks combined with the multi-task learning framework to seek complementary information for enhancing prediction performance. However, the existing methods still face two challenges: they fail to capture global interaction patterns between regions and lack consideration for inter-correlations within interaction patterns. To solve these issues, we propose a novel multi-task spatio-temporal fully convolutional model named MSTFCM. First, the model includes the interaction tensor and raster tensor as task inputs, where the interaction tensor extends the raster tensor by incorporating global interaction patterns between regions. Second, a multi-task framework combined spatio-temporal convolutional block was used to learn generalized features and interaction features. A channel spatio-temporal attention is added to adaptively adjust feature weights and capture inter-correlations. To train the MSTFCM, the uncertainty loss was designed as the learnable loss functions, which capture various flow fluctuations, to facilitate multi-task optimization. The proposed model was validated on two real-world traffic datasets collected in Xiamen, China. Experimental results showed that MSTFCM outperformed nine baselines in one-step and multi-step prediction, with slower performance degradation as predicted time intervals and steps increased. We further validated the model's effectiveness through designed variants and visualization results.
Keyword ：
interaction pattern interaction pattern multi-task learning multi-task learning spatio-temporal dependencies spatio-temporal dependencies Traffic flow prediction Traffic flow prediction
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| GB/T 7714 | Qianqian, Zhou , Tu, Ping , Chen, Nan . A multi-task spatio-temporal fully convolutional model incorporating interaction patterns for traffic flow prediction [J]. | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE , 2024 , 39 (1) : 142-180 . |
| MLA | Qianqian, Zhou et al. "A multi-task spatio-temporal fully convolutional model incorporating interaction patterns for traffic flow prediction" . | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 39 . 1 (2024) : 142-180 . |
| APA | Qianqian, Zhou , Tu, Ping , Chen, Nan . A multi-task spatio-temporal fully convolutional model incorporating interaction patterns for traffic flow prediction . | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE , 2024 , 39 (1) , 142-180 . |
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Identifying the geographic distribution and erosion risks of various soil erosion regions are critical inputs to the implementation of extensive and effective land protection planning. To obtain more accurate and sufficient erosion information on a large scope, this paper introduced the complex network theory to quantitatively simulate the topographic spatial structure and topological relationship of the erosion area. The watershed was selected as the basic study unit and the directed weighted complex network (DWCN) of each watershed was constructed from DEM data. The directed weighted complex network factor (DWCNF) of each watershed was calculated by the DWCN. After combining DWCNFs with existing SEEF, the soil erosion types and risks of sample areas in the Chinese Loess Plateau were identified by the random forest model. The results show that in both typical and atypical sample areas, the identification performance of soil erosion by combining DWCNFs with existing SEEFs was performed better than that by employing only the DWCNFs or SEEFs dataset. It is suggested that the quantitative description of the spatial structure and topological relationship of the watershed from the perspective of a complex network contributes to obtaining more accurate soil erosion information. The DWCNF of structural entropy, betweenness centrality, and degree centrality were of high importance, which can reliably and effectively identify the types and risks of soil erosion, thus providing a broader factor reference for relevant research. The method proposed in this paper of vectoring terrain into complex network structures is also a novel sight for geological research under complex terrain conditions.
Keyword ：
digital elevation model digital elevation model directed weighted complex network directed weighted complex network directed weighted complex network factor directed weighted complex network factor soil erosion soil erosion soil erosion effective factor soil erosion effective factor
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| GB/T 7714 | Tu, Ping , Zhou, Qianqian , Qi, Meng . Soil Erosion Type and Risk Identification from the Perspective of Directed Weighted Complex Network [J]. | SUSTAINABILITY , 2023 , 15 (3) . |
| MLA | Tu, Ping et al. "Soil Erosion Type and Risk Identification from the Perspective of Directed Weighted Complex Network" . | SUSTAINABILITY 15 . 3 (2023) . |
| APA | Tu, Ping , Zhou, Qianqian , Qi, Meng . Soil Erosion Type and Risk Identification from the Perspective of Directed Weighted Complex Network . | SUSTAINABILITY , 2023 , 15 (3) . |
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The Loess Plateau is the largest gully geomorphic region in the world, characterized by the most intense soil erosion in a typical loess-covered area. Previous studies have focused on the terrain and texture of this region; however, there have been no systematic studies on the gully spatial structure of the Loess Plateau. Therefore, the present study investigated the characteristics and spatial distribution of landform spatial structure over the Loess Plateau. Specifically, gully weighted complex networks (GWCNs) were applied to simulate the gully spatial structure of loess landforms, and a series of quantitative indices were introduced to delineate these. Using 57 geomorphological units uniformly distributed across the Loess Plateau as test areas and six typical loess landforms as sample areas, GWCNs were constructed, and using these GWCNs, the spatial structure and internal mechanisms of typical loess landforms were explored. From a series of fresh insights, such as the regional scale-free distribution, homologous structure, tightness, community effect, connectivity, stability, and complexity, regular variations in quantitative indices delineate the spatial distribution of the characteristics of landform spatial structure over the plateau. Moreover, the spatial distribution of complex network indices exhibited strong spatial coupling with loess landforms. Overall, GWCNs could be effectively used for landform recognition and performed well. In conclusion, these experimental results suggest that introducing complex networks into landform studies can offer novel insights into landform quantitative analyses. The present work is of great significance, as it proposes a new methodology for describing the spatial structure and terrain features of landforms in quantitative analyses and furthers our understanding of landform genesis.
Keyword ：
complex network complex network DEM DEM digital terrain analysis digital terrain analysis geomorphology geomorphology Loess Plateau Loess Plateau terrain feature terrain feature
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| GB/T 7714 | Lin, Siwei , Chen, Nan , Qianqian, Zhzou et al. Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau [J]. | PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT , 2022 . |
| MLA | Lin, Siwei et al. "Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau" . | PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT (2022) . |
| APA | Lin, Siwei , Chen, Nan , Qianqian, Zhzou , Feng, Qiu , Jing, Xie , Meng, Qi et al. Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau . | PROGRESS IN PHYSICAL GEOGRAPHY-EARTH AND ENVIRONMENT , 2022 . |
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Taxi travel flow patterns and their interday stability play an important role in the planning of urban transportation and public service facilities. Existing studies pay little attention to the stability of the travel flow patterns between days, and it is difficult to consider the impact of dynamic changes in daily travel demand analysis when supporting related decision making. Taxi trajectory data have been widely used in urban taxi travel-pattern analysis. This paper uses the taxi datasets of Shenzhen and New York to analyze and compare the interday stability of the taxi travel spatial structure and the flow volume based on the improved Levenshtein algorithm and geographic flow theory. The results show that (1) interday differences in taxi travel flow are obvious in both spatial structure and flow volume, high-frequency origin-destination (OD) trips are relatively stable; (2) the ODs between the central urban area and surrounding areas exhibit high traffic volume and high interday stability, and the ODs starting or ending at an airport exhibit high traffic stability; (3) one week's data can describe 86% of the overall travel structure and 84% of travel flow in Shenzhen, and one week's New York data can describe 73% of travel structure and 76% of travel flow. There are differences in the travel patterns of people in different cities, and the representativeness of datasets in different cities will be different. These findings can help to better understand the outcomes of taxi travel patterns derived from a relatively short period of data to avoid potential misuse in related decision making.
Keyword ：
human mobility human mobility interday stability interday stability origin-destination similarity origin-destination similarity taxi trajectory data taxi trajectory data travel structure travel structure
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| GB/T 7714 | Tu, Ping , Yao, Wei , Zhao, Zhiyuan et al. Interday Stability of Taxi Travel Flow in Urban Areas [J]. | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2022 , 11 (12) . |
| MLA | Tu, Ping et al. "Interday Stability of Taxi Travel Flow in Urban Areas" . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 11 . 12 (2022) . |
| APA | Tu, Ping , Yao, Wei , Zhao, Zhiyuan , Wang, Pengzhou , Wu, Sheng , Fang, Zhixiang . Interday Stability of Taxi Travel Flow in Urban Areas . | ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION , 2022 , 11 (12) . |
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Land Use/Cover Change (LUCC) impacts local energy and water balance and promotes a net carbon emission to the atmosphere globally. Based on the latest released annual ESA Climate Change Initiative (CCI) global land cover dataset, which provides long time sequenced land cover changes at 300 m resolution from 1992 to 2015, the spatio-temporal characteristics and driving forces of major land cover change along the Belt and Road Initiative were analyzed. Results indicated that cropland, grassland, and built-up land increased by 190.00×103 km2, 57.97×103 km2, and 260.39×103 km2, respectively, whereas forest, shrub, wetland, and water decreased by 61.14×103 km2, 34.22×103 km2, 74.28×103 km2, and 44.41×103 km2, respectively. In addition, the spatial patterns of land cover changes during 2000—2015 in the Belt and Road Initiative was consistent with that of the period 1992—2000. However, some new characteristics of land cover changes emerged in different regions of the Belt and Road Initiative in 2000—2015. The rates of built-up land expansion and forest loss increased in Southeast Asia, whereas the rates of cropland growth and shrub loss decreased significantly. The built-up land continued to expand at a high speed, and the area of grassland increased in East Asia, whereas the area of cropland continued to decrease, and the rate of forest loss has dropped significantly. The expansion rate of built-up land decreased in Central and Eastern Europe, whereas the rate of cropland shrinkage accelerated. In Russia, built-up land expansion slowed down continually, and forest area increased slightly. In addition, the growth rates of grassland and shrub decreased in Russia. The analysis further shows that population growth, climate change, socio-economic development, and government-related policies are the main drivers of land cover change in countries along the Belt and Road Initiative. © 2022 National Remote Sensing Bulletin. All rights reserved.
Keyword ：
Climate change Climate change Economics Economics Expansion Expansion Forestry Forestry Land use Land use Population statistics Population statistics Remote sensing Remote sensing Roads and streets Roads and streets
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| GB/T 7714 | Hai, Kai , Wang, Siyuan , Tu, Ping et al. Spatio-temporal patterns and driving forces of recent 1992—2015 land cover change in countries along the Belt and Road Initiative [J]. | National Remote Sensing Bulletin , 2022 , 26 (6) : 1220-1235 . |
| MLA | Hai, Kai et al. "Spatio-temporal patterns and driving forces of recent 1992—2015 land cover change in countries along the Belt and Road Initiative" . | National Remote Sensing Bulletin 26 . 6 (2022) : 1220-1235 . |
| APA | Hai, Kai , Wang, Siyuan , Tu, Ping , Yang, Ruixia , Ma, Yuanxu , Liang, Juanzhu et al. Spatio-temporal patterns and driving forces of recent 1992—2015 land cover change in countries along the Belt and Road Initiative . | National Remote Sensing Bulletin , 2022 , 26 (6) , 1220-1235 . |
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以广东省2010-2019年中分辨率成像光谱仪(MODIS)气溶胶产品为数据源,对广东省近10 a的气溶胶光学厚度(AOD)进行时空演变趋势探索和空间异质性分析.通过历史空气质量监测数据,筛选出东莞市典型气溶胶粒子污染事件,并对其进行3个高度上的大气污染物72 h后向轨迹分析.结果表明:在时间上,近10 a广东省气溶胶变化总体上呈现下降和不变的趋势;而在空间上,主要呈现"北低南高"的分布特征,自相关性显著.后向轨迹表明,广东省所受到的大气污染源自不同的高度层,受到台风和季风的影响,以及受到海洋和陆地气溶胶共同作用.
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| GB/T 7714 | 牟维 , 涂平 , 梁娟珠 . 广东省气溶胶时空演变及后向轨迹分析 [J]. | 华侨大学学报（自然科学版） , 2021 , 42 (6) : 800-808 . |
| MLA | 牟维 et al. "广东省气溶胶时空演变及后向轨迹分析" . | 华侨大学学报（自然科学版） 42 . 6 (2021) : 800-808 . |
| APA | 牟维 , 涂平 , 梁娟珠 . 广东省气溶胶时空演变及后向轨迹分析 . | 华侨大学学报（自然科学版） , 2021 , 42 (6) , 800-808 . |
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以福州市各乡镇街道为研究单元,基于福州市养老服务设施的空间分布特征,利用起始-目的地(ori-gin-destination,OD)成本矩阵计算老年人从街道中心到养老设施的出行时间.利用改进的两步移动搜索法进行可达性评价,并通过设定不同时间阻抗(0.62,1.24 h)进行空间敏感性分析.结果表明:福州市养老服务设施整体呈现内集聚外扩散的"圈状分层式"分布格局;福州市养老服务设施可达性以主城区为中心向外呈距离衰减趋势,形成了"南高北低、东高西低"的空间分布格局;随着时间阻抗的增大,可达性空间分异能力降低,整体上有变好的趋势,而边缘乡镇可达性所受影响程度不大.
Keyword ：
养老服务设施 养老服务设施 改进的两步移动搜索法 改进的两步移动搜索法 敏感性分析 敏感性分析 福州市 福州市 空间可达性 空间可达性
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| GB/T 7714 | 许轲 , 涂平 . 福州市养老服务设施的空间可达性评价 [J]. | 华侨大学学报（自然科学版） , 2020 , 41 (3) : 340-347 . |
| MLA | 许轲 et al. "福州市养老服务设施的空间可达性评价" . | 华侨大学学报（自然科学版） 41 . 3 (2020) : 340-347 . |
| APA | 许轲 , 涂平 . 福州市养老服务设施的空间可达性评价 . | 华侨大学学报（自然科学版） , 2020 , 41 (3) , 340-347 . |
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在我国目前老龄化趋势的严峻挑战下,许多省份面临着养老金收支平衡的难关。通过研究福建省企业养老保险的收支、累计结余、老年抚养比、养老金替代率、制度赡养比以及养老金缴费率,分析福建省目前企业职工养老保险所处的现状,以及根据数据和全国规模的数据比较,提出如何确保养老保险的可持续性发展,福建省养老金缴费率上有很大的提升空间,适度调整养老金替代率,以及延迟退休年龄等措施。
Keyword ：
养老保险 养老保险 替代率 替代率 缴费率 缴费率
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| GB/T 7714 | 刘圆圆 , 涂平 . 福建省企业养老保险现状分析 [J]. | 经济与社会发展研究 , 2020 , 0 (9) : 0128-0130 . |
| MLA | 刘圆圆 et al. "福建省企业养老保险现状分析" . | 经济与社会发展研究 0 . 9 (2020) : 0128-0130 . |
| APA | 刘圆圆 , 涂平 . 福建省企业养老保险现状分析 . | 经济与社会发展研究 , 2020 , 0 (9) , 0128-0130 . |
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尽管越来越多的人认识到"一带一路"沿线各国的城市化进程对其经济、政治和环境系统所起的重要作用,但对监测区域范围内城市扩张和形态变化的比较研究却极为有限。基于欧空局气候变化倡议项目最新发布的1992—2015年300 m分辨率的全球土地覆盖数据集、1992—2012年DMSP/OLS夜间灯光数据和2000—2015年LandScan人口数据,本文首先分析了1992—2015年"一带一路"陆域城市用地增长的空间格局和十大分区城市用地面积的动态。其次,通过分析3个时间点(1992年、2003年和2015年)上同心环内城市用地密度的时空变化,量化了"一带一路"沿线80个城市的扩张和形态变化。最后采用3...
Keyword ：
“一带一路” “一带一路” 同心环 同心环 城市扩张和形态变化 城市扩张和形态变化 城市用地密度 城市用地密度
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| GB/T 7714 | 海凯 , 王思远 , 马元旭 et al. “一带一路”沿线地区城市扩张和形态变化分析 [J]. | 地理学报 , 2020 , 75 (10) : 2092-2108 . |
| MLA | 海凯 et al. "“一带一路”沿线地区城市扩张和形态变化分析" . | 地理学报 75 . 10 (2020) : 2092-2108 . |
| APA | 海凯 , 王思远 , 马元旭 , 杨瑞霞 , 涂平 , 梁娟珠 et al. “一带一路”沿线地区城市扩张和形态变化分析 . | 地理学报 , 2020 , 75 (10) , 2092-2108 . |
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