The Trend Analysis Method of Urban Taxi Order Based on Driving Track Data

2020 ◽  
pp. 683-698
Author(s):  
Linchao Yang ◽  
Guozhu Jia ◽  
Fajie Wei ◽  
Wenbin Chang ◽  
Shenghan Zhou
Keyword(s):  
Trend Analysis ◽  
Analysis Method

scholarly journals Trend Analysis of Parent Education in Korea - Using Network Analysis Method -

2017 ◽  
Vol 23 (3) ◽  
pp. 75-94 ◽  
Author(s):  
YoungHwan Kim ◽  
Kang, Doobong ◽  
이승민
Keyword(s):  
Network Analysis ◽  
Trend Analysis ◽  
Parent Education ◽  
Analysis Method

scholarly journals A spatial and temporal analysis on NDVI in Urad grassland during 2010-2019 over remote sensing

2021 ◽  
Vol 336 ◽  
pp. 06029
Author(s):  
Yueying Zhang ◽  
Tiantian Liu ◽  
Yuxi Wang ◽  
Ming Zhang ◽  
Yu Zheng
Keyword(s):  
Remote Sensing ◽  
Trend Analysis ◽  
Temporal Analysis ◽  
Vegetation Coverage ◽  
Analysis Method ◽  
Modis Ndvi ◽  
The Past ◽  
Spatial And Temporal Analysis ◽  
Change Trend ◽  
Temporal And Spatial

The temporal-spatial dynamic variation of vegetation coverage from 2010 to 2019 in Urad Grassland, Inner Mongolia has been investigated by analysing on MODIS NDVI remote sensing products. This paper applies pixel dichotomy approach and linear regression trend analysis method to analyze the temporal and spatial evolution trend of vegetation coverage over the past 10 years. The average annual vegetation coverage showed a downward trend in general from 2010 to 2019. The vegetation distribution and change trend analysis provide a thorough and scientific reference for policymaking in environmental protection.

scholarly journals Long-Term Trends and Seasonality Detection of the Observed Flow in Yangtze River Using Mann-Kendall and Sen’s Innovative Trend Method

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1855 ◽  
Author(s):  
Ali ◽  
Kuriqi ◽  
Abubaker ◽  
Kisi
Keyword(s):  
Trend Analysis ◽  
Yangtze River ◽  
Winter Season ◽  
Trend Test ◽  
Analysis Method ◽  
Adaptation Measures ◽  
Minimum Flow ◽  
Mk Test ◽  
Innovative Trend Analysis ◽  
Increasing Trend

Trend analysis of streamflow provides practical information for better management of water resources on the eve of climate change. Thus, the objective of this study is to evaluate the presence of possible trends in the annual, seasonal, maximum, and minimum flow of Yangtze River at Cuntan and Zhutuo stations in China for the period 1980 to 2015. The assessment was carried out using the Mann–Kendall trend test, and the innovative trend analysis, while Sen’s slope is used to estimate the magnitude of the changes. The results of the study revealed that there were increasing and decreasing trends at Cuntan and Zhutuo stations in different months. The mean annual flow was found to decrease at a rate of −26.76 m3/s and −17.37 m3/s at both stations. The minimum flow was found to significantly increase at a rate of 30.57 m3/s and 16.37 m3/s, at a 95% level of confidence. Maximum annual flows showed an increasing trend in both regions of the Yangtze River. On the seasonal scale, the results showed that stations are more sensitive to seasonal flow variability suggesting a probable flooding aggravation. The winter season showed an increasing flow trend, while summer showed a decreasing trend. The spring flow was found to have an increasing trend by the Mann–Kendall test at both stations, but in the Zhutuo Station, a decreasing trend was found by way of the innovative trend analysis method. However, the autumn flow indicated a decreasing trend over the region by the Mann–Kendall (MK) test at both stations while it had an increasing trend in Cuntan by the innovative trend analysis method. The result showed nonstationary increasing and decreasing flow trends over the region. Innovative trend analysis method has the advantage of detecting the sub-trends in the flow time series because of its ability to present the results in graphical format. The results of the study indicate that decreasing trends may create water scarcity if proper adaptation measures are not taken.

scholarly journals Analysis of total monthly precipitation of Susurluk Basin in Turkey using innovative polygon trend analysis method

2020 ◽  
Author(s):  
Gokmen Ceribasi ◽  
Ahmet Iyad Ceyhunlu
Keyword(s):  
Climate Change ◽  
Trend Analysis ◽  
Meteorological Parameters ◽  
Global Climate ◽  
Data Series ◽  
Monthly Precipitation ◽  
Precipitation Data ◽  
Analysis Method ◽  
Distinctive Features ◽  
Monthly Precipitation Data

Abstract The effects of climate change caused by global warming can be seen in changes of climate variables such as precipitation, humidity, and temperatures. These effects of global climate change can be interpreted as a result of the examination of meteorological parameters. One of the most effective methods to investigate these effects is trend analysis. The Innovative Polygon Trend Analysis (IPTA) method is a trend analysis method that has emerged in recent years. The distinctive features of this method compared with other trend methods are that it depends on time series and can compare data series among themselves. Therefore, in this study, the IPTA method was applied to total monthly precipitation data of Susurluk Basin, one of Turkey's important basins. Data from ten precipitation observation stations in Susurluk Basin were used. Data were provided by the General Directorate of State Meteorology Affairs. The length of this data series was 12 years (2006–2017). As a result of the study, since there is no regular polygon in IPTA graphics of each station, it is seen that precipitation data varies by years. While this change is seen increasingly at some stations, it is seen decreasingly at other stations.

scholarly journals Compartement Analysis of Reservoir X Uses Dynamic Data and Geology Data in ND Structure, South Sumatera

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Nida Muthia Lamis ◽  
Suryo Prakoso ◽  
Rini Setiati
Keyword(s):  
Trend Analysis ◽  
Analysis Method ◽  
Pressure Data ◽  
The South ◽  
Dynamic Data ◽  
History Of ◽  
Reservoir Connectivity

<em>The ND Structure is located in the South Sumatra Basin, which is located in the ND Block. The ND Structure is located in the South Sumatra Basin, South Sumatra Province. This Structure is the southern part of the South Sumatra Basin onshore.The reservoir x compartmentalization analysis is carried out using the fault seal analysis method, mapping the reservoir x property combined with the analysis of pressure data between compartments. Combining the method between fault seal analysis, history of pressure trend analysis and mapping of subsurface properties can be used as a method to explain and describe reservoir compartment. Reservoir connectivity of Reservoir X separated by faults and property barriers in ND Structure, so from the analysis that reservoir X is divided into 4 (four) compartments</em>.

scholarly journals Trend analysis method on vertical axis and comparison with Şen’s ITA approach

2021 ◽  
Author(s):  
Yavuz Selim Güçlü
Keyword(s):  
Trend Analysis ◽  
Graphical Representation ◽  
Vertical Axis ◽  
The Black Sea ◽  
Analysis Method ◽  
North West ◽  
Hydrological Data ◽  
Rainfall Station ◽  
West Part ◽  
Continental Climate

Abstract The classical trend tests are applied frequently in meteorological and hydrological data. Recently, Şen-innovative trend analysis (ITA) method provides the ability to visualize inspection and identification of trend conditions. The main objective of this paper is to attempt determination and visualization of trends by means of a special graphical representation based on alternative illustration of Şen-ITA method. The suggested methodology shows different trend information than classical Şen-ITA test on the Black Sea, Mediterranean, and continental climate regions in Turkey. This research comprises 50-year rainfall station records in Çanakkale, Edirne, Kocaeli, and Zonguldak stations located in North-West part of Turkey.

Calculating the Maximum Assembling on Nested Routing Platforms of Urban Rail Transit Line

2014 ◽  
Vol 2 (4) ◽  
pp. 372-384
Author(s):  
Yongliang Wang ◽  
Xingchen Zhang
Keyword(s):  
Trend Analysis ◽  
Influencing Factors ◽  
Change Process ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Analysis Method ◽  
Passenger Train ◽  
Numerical Example ◽  
Urban Rail

Abstract The maximum assembling for some period on nested routing platforms of urban rail transit line were calculated by trend analysis method. Based on influencing factors of maximum assembling on platform, relative hypotheses were given. Platforms were divided to eight types by relations between platform and routing train. Interaction of passenger, train and platform, assembling change process, and calculation frames of maximum assembling on different type platforms carried out to be maximum assembling were concluded by trend analysis method. The numerical example application revealed that trend analysis method to calculate maximum assembling on nested routing platforms is feasible, and the final results by trend analysis method are more accurate than by one of codes for design of metro.

Sign in / Sign up

Export Citation Format

Share Document