scholarly journals Potensi dan Tantangan Pengembangan Sektor Unggulan di Kalimantan Barat

2016 ◽  
Vol 5 (2) ◽  
pp. 94
Author(s):  
Dinarjad Achmad
Keyword(s):  
Time Series ◽  
Water Supply ◽  
Time Series Data ◽  
Water Area ◽  
Primary Objective ◽  
Series Data ◽  
West Kalimantan ◽  
The Earth ◽  
Descriptive Method ◽  
Land Water

The primary objective of this study was to analyze the potential and challenges of superior sectordevelopment in West Kalimantan. Superior sectors here interpreted as a sector that producesgoods that can be exported. Descriptive method and time series data for 7 years (2007- 2013) wasused as the tools and materials to perform the analysis.The results showed that the based on ofnatural resources (land, water area and the river, fill the earth) and geography, West Kalimantanhave a greater potential for superior sector development, but there are several challenges to thedevelopment potential of the superior sector, including: (1) resource human (HR) is still weak.(2) Infrastructure (electricity, gas and water supply, road and port export) are limited. (3)Marketing and networking is still weak 

scholarly journals Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957–2019)

Water ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 2335
Author(s):  
Feng Gao ◽  
Yunpeng Wang ◽  
Xiaoling Chen ◽  
Wenfu Yang
Keyword(s):  
Time Series ◽  
Water Supply ◽  
Trend Analysis ◽  
Agricultural Production ◽  
Time Series Data ◽  
Shanxi Province ◽  
Series Data ◽  
Rainfall Time Series ◽  
Mk Test ◽  
Wutai Shan

Changes in rainfall play an important role in agricultural production, water supply and management, and social and economic development in arid and semi-arid regions. The objective of this study was to examine the trend of rainfall series from 18 meteorological stations for monthly, seasonal, and annual scales in Shanxi province over the period 1957–2019. The Mann–Kendall (MK) test, Spearman’s Rho (SR) test, and the Revised Mann–Kendall (RMK) test were used to identify the trends. Sen’s slope estimator (SSE) was used to estimate the magnitude of the rainfall trend. An autocorrelation function (ACF) plot was used to examine the autocorrelation coefficients at various lags in order to improve the trend analysis by the application of the RMK test. The results indicate remarkable differences with positive and negative trends (significant or non-significant) depending on stations. The largest number of stations showing decreasing trends occurred in March, with 10 out of 18 stations at the 10%, 5%, and 1% levels. Wutai Shan station has strong negative trends in January, March, April, November, and December at the level of 1%. In addition, Wutai Shan station also experienced a significant decreasing trend over four seasons at a significance level of 1% and 10%. On the annual scale, there was no significant trend detected by the three identification methods for most stations. MK and SR tests have similar power for detecting monotonic trends in rainfall time series data. Although similar results were obtained by the MK/SR and RMK tests in this study, in some cases, unreasonable trends may be provided by the RMK test. The findings of this study could benefit agricultural production activities, water supply and management, drought monitoring, and socioeconomic development in Shanxi province in the future.

scholarly journals Implementation of an Improved Water Change Tracking (IWCT) Algorithm: Monitoring the Water Changes in Tianjin over 1984–2019 Using Landsat Time-Series Data

2021 ◽  
Vol 13 (3) ◽  
pp. 493
Author(s):  
Xingxing Han ◽  
Wei Chen ◽  
Bo Ping ◽  
Yong Hu
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Land Reclamation ◽  
Wetland Management ◽  
Northern China ◽  
Water Area ◽  
Series Data ◽  
Wetland Ecosystems ◽  
The Past ◽  
Similar Band

Tianjin is the largest open city along the coastline in Northern China, which has several important wetland ecosystems. However, no systematic study has assessed the water body changes over the past few decades for Tianjin, not to mention their response to human activities and climate change. Here, based on the water change tracking (WCT) algorithm, we proposed an improved water change tracking (IWCT) algorithm, which could remove built-up shade noise (account for 0.4%~6.0% of the final water area) and correct omitted water pixels (account for 1.1%~5.1% of the final water area) by taking the time-series data into consideration. The seasonal water product of the Global Surface Water Data (GSWD) was used to provide a comparison with the IWCT results. Significant changes in water bodies of the selected area in Tianjin were revealed from the time-series water maps. The permanent water area of Tianjin decreased 282.5 km2 from 1984 to 2019. Each time after the dried-up period, due to government policies, the land reclamation happened in Tuanbo Birds Nature Reserve (TBNR), and, finally, 12.6 km2 of the lake has been reclaimed. Meanwhile, 488.6 km2 of land has been reclaimed from the sea along the coastal zone in the past 16 years at a speed of 28.74 km2 yr−1 in the Binhai New Area (BHNA). The method developed in this study could be extended to other sensors which have similar band settings with Landsat; the products acquired in this study could provide fundamental reference for the wetland management in Tianjin.

scholarly journals Earth’s albedo time series reveals low radiative energy input in December 2020

2021 ◽  
Author(s):  
Antti Penttilä ◽  
Karri Muinonen ◽  
Olli Ihalainen ◽  
Elizaveta Uvarova ◽  
Mikko Vuori ◽  
...  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Radiative Energy ◽  
Series Data ◽  
Radiation Balance ◽  
The Sun ◽  
The Earth ◽  
Important Input ◽  
Low Earth Orbits ◽  
Earth Orbits

Abstract The Earth’s spherical albedo describes the ratio of light reflected from the Earth to that incident from the Sun, an important input variable for the Earth’s radiation balance. The spherical albedo has been previously estimated from satellites in low-Earth orbits, and from light reflected from the Moon. However, neither of these methods can produce continuous time series of the entire planet. We developed a global method to derive the Earth’s spherical albedo using the images from the Earth Polychromatic Imaging Camera (EPIC) on board NOAA’s Deep Space Climate Observatory (DSCOVR). The satellite is located in the Lagrange 1 point between the Earth and the Sun and observes the complete illuminated part of the Earth at once. The method allows us to provide continuously updated spherical albedo time series data starting from 2015. This time series shows a systematic seasonal variation with the mean annual albedo estimated as 0.295±0.008 and an exceptional albedo maximum in 2020, attributed to unusually abundant cloudiness over the Southern Oceans.

scholarly journals Pengaruh Investasi PMDN, PMA, dan Penyerapan Tenaga Kerja Terhadap Pertumbuhan Ekonomi dan Jumlah Penduduk Miskin Kabupaten/Kota di Provinsi Kalimantan Barat

2017 ◽  
Vol 6 (2) ◽  
pp. 97 ◽  
Author(s):  
Yetty Agustini ◽  
Erni Panca Kurniasih
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Cross Section ◽  
Foreign Investment ◽  
Time Series Data ◽  
Series Data ◽  
Domestic Investment ◽  
The West ◽  
West Kalimantan ◽  
Local Economic Growth

The purpose of the research is to know the influence of domestic investment, foreign investment, and the absorption of labor toward the local economic growth and the amount of people who live in poverty in regency/city in West Kalimantan. This study tested 6 (six) years data, from 2008 to 2013 using panel data in the form of time series data (2008-2013) and cross section (10 countries/ cities) in the West Kalimantan province. Data were analyzed using regression analysis via Eviews 6.0. The results of the research showed that: 1) Domestic Investment influnces positively and significant toward the growth of local economic in regency/city in West Kalimantan. 2) Foreign Investment influences positively and significant toward the growth of local economic in regency/city in West Kalimantan. 3) The Absorption of labor influences positively and is significant toward the amount of local economic growth in regency/city in West Kalimantan. 4) Economic growth influences negatively and significant toward the amount of people who live in poverty in regency/city in West Kalimantan

Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

2013 ◽  
Author(s):  
Stephen J. Tueller ◽  
Richard A. Van Dorn ◽  
Georgiy Bobashev ◽  
Barry Eggleston
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Exploratory Data Analysis ◽  
Time Series Data ◽  
Series Data ◽  
Exploratory Data

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

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