scholarly journals Tipe Urban Sprawl dan Eksistensi Pertanian di Wilayah Pinggiran Kota Denpasar

2019 ◽  
Vol 7 (2) ◽  
pp. 79-89
Author(s):  
Putu Indra Christiawan
Keyword(s):  
Urban Sprawl ◽  
Urban Form ◽  
Agricultural Land ◽  
Time Series Data ◽  
Rice Fields ◽  
Series Data ◽  
Forest Park ◽  
The North ◽  
Open Land ◽  
Suburban Developments

Denpasar City as the capital of Bali Province is attractive to regional development. The limited space of Denpasar City directs the development towards the periphery. The extension of physical urban form will be a significant factor of suburban developments. The study aims to examine the type of urban sprawl development in the Denpasar suburbs, and their relation to the existence of agriculture. The qualitative research method is used to analyze the type of urban sprawl with the following indicators of typical land uses covering rice fields, forest park, open land, and settlements. Remote sensing analysis of these four indicators applies GIS model drawn from three time-series data of 2005, 2010 and 2015. Spatial approaches are applied to examine the patterns and structures of urban sprawl types. The results find two main types of urban sprawl development in the city suburbs, that is, leapfrog type which is mostly scattered in the north, and the ribbon type mainly centered in the eastern part of Denpasar City. Both types of urban sprawl play a crucial role in decreasing the amount of agricultural land, especially rice fields, in the suburbs of Denpasar.  

scholarly journals Monitoring Urban Sprawl Using Time-Series Data: Famagusta Region of Northern Cyprus

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110074
Author(s):  
Kamyar Fuladlu ◽  
Müge Riza ◽  
Mustafa Ilkan
Keyword(s):  
Time Series ◽  
Urban Sprawl ◽  
Census Data ◽  
Time Series Data ◽  
Developed Countries ◽  
Geographical Information ◽  
Series Data ◽  
Great Success ◽  
European Cities ◽  
Northern Cyprus

Monitoring urban sprawl is a controversial topic among scholars. Many studies have tried to employ various methods for monitoring urban sprawl in cases of North American and Northern and Western European cities. Although numerous methods have been applied with great success in various developed countries, they are predominantly impractical for cases of developing Mediterranean European cities that lack reliable census data. Besides, the complexity of the methods made them difficult to perform in underfunded situations. Therefore, this study aims to develop a new multidimensional method that researchers and planners can apply readily in developing Mediterranean European cities. The new method was tested in the Famagusta region of Northern Cyprus, which has been experiencing unplanned growth for the past half-century. In support of this proposal, a detailed review of the existing literature is presented with an emphasis on urban sprawl characteristics. Four characteristics were chosen to monitor urban sprawl’s development in the Famagusta region. The method was structured based on a time-series (2001, 2006, 2011, and 2016) dataset that used remote sensing data and geographical information systems to monitor the urban sprawl. Based on the findings, the Famagusta region experienced rapid growth during the last 15 years. The lack of a masterplan resulted in the uncontrolled expansion of the city in the exurban areas. The development configuration was polycentric and linear in form with single-use composition. Together, the expansion and configuration manifested as more built-up area, scattered development, and increased automobile dependency.

scholarly journals Parameter uncertainty of a dynamic multispecies size spectrum model

2016 ◽  
Vol 73 (4) ◽  
pp. 589-597 ◽  
Author(s):  
Michael A. Spence ◽  
Paul G. Blackwell ◽  
Julia L. Blanchard
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Size Structure ◽  
Management Strategies ◽  
Optimization Methods ◽  
Series Data ◽  
Size Spectrum ◽  
Aquatic Communities ◽  
The North ◽  
Spectrum Model

Dynamic size spectrum models have been recognized as an effective way of describing how size-based interactions can give rise to the size structure of aquatic communities. They are intermediate-complexity ecological models that are solutions to partial differential equations driven by the size-dependent processes of predation, growth, mortality, and reproduction in a community of interacting species and sizes. To be useful for quantitative fisheries management these models need to be developed further in a formal statistical framework. Previous work has used time-averaged data to “calibrate” the model using optimization methods with the disadvantage of losing detailed time-series information. Using a published multispecies size spectrum model parameterized for the North Sea comprising 12 interacting fish species and a background resource, we fit the model to time-series data using a Bayesian framework for the first time. We capture the 1967–2010 period using annual estimates of fishing mortality rates as input to the model and time series of fisheries landings data to fit the model to output. We estimate 38 key parameters representing the carrying capacity of each species and background resource, as well as initial inputs of the dynamical system and errors on the model output. We then forecast the model forward to evaluate how uncertainty propagates through to population- and community-level indicators under alternative management strategies.

Municipal changes in Slovakia. The evidence from spatial data.

2020 ◽  
Vol 11 (1) ◽  
pp. 58-72
Author(s):  
Martin MARIS
Keyword(s):  
Spatial Data ◽  
Time Series Data ◽  
Population Sample ◽  
Series Data ◽  
Annual Growth Rate ◽  
The West ◽  
Compound Annual Growth Rate ◽  
Fast Growing ◽  
The North ◽  
Statistical Criteria

The main objective of the paper is to examine the evolution of spatial patterns of settlement network in Slovakia as a result of population rearrangement among municipalities based on time series data of 1993 - 2017. The objects of the research are municipalities, which during the searched period recorded unusual fast population growth or decline, far exceeding the chosen parameter of the population sample. The primary population sample consists of 2919 municipalities. The experimental samples consist of 563 of fast-growing municipalities and 413 of fast-declining municipalities, based on the chosen statistical criteria, what is the compound annual growth rate. The results have shown that fast-growing municipalities are predominantly situated on the West, surrounding the Bratislava agglomeration, on the North and the East surrounding the Kosice metropolis. Generally, they tend to cluster around the cities on the district and regional levels. Fast-declining municipalities predominantly situated in the Middle, along the Hungarian, Polish, and Ukrainian border on the South and the East of the country, respectively.

Precise identification of maize in the North China Plain based on Sentinel-1A SAR time series data

2018 ◽  
Vol 40 (5-6) ◽  
pp. 1996-2013 ◽  
Author(s):  
Li Li ◽  
Qingling Kong ◽  
Pengxin Wang ◽  
Lan Xun ◽  
Lei Wang ◽  
...  
Keyword(s):  
Time Series ◽  
North China Plain ◽  
North China ◽  
Time Series Data ◽  
Series Data ◽  
The North ◽  
The North China Plain ◽  
Precise Identification

scholarly journals INFASI, PENGANGGURAN DAN KEMISKINAN DI PROVINSI MALUKU UTARA

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Dewi Permatasari
Keyword(s):  
Time Series ◽  
Path Analysis ◽  
Time Series Data ◽  
Positive Impact ◽  
Poverty Rate ◽  
Series Data ◽  
High Unemployment ◽  
The North ◽  
Poverty Levels ◽  
Positive Effect

Tinjauan kemiskinan dari dimensi ekonomi ini diartikan sebagai ketidakmampuan seseorang untuk mendapatkan mata pencaharian yang mapan dan memberikan penghasilan yang layak untuk menunjang hidupnya secara berkesinambungan. Kemiskinan merupakan salah satu masalah yang menjadi pusat perhatian di negara manapun. Kemiskinan disebabkan oleh berbagai faktor, seperti tingkat investasi yang masih dibawah standar, tingkat pengangguran yang tinggi, dan pertumbuhan ekonomi yang lambat. Tujuan penelitian ini adalah menganalisis pengaruh inflasi terhadap pengangguran dan kemiskinan, dan pengaruh pengangguran terhadap kemiskinan di Provinsi Maluku Utara. Penelitian ini menggunakan data runtun waktu (time series) tahun 2013-2018 dan menggunakan analisis jalur (path analysis). Hasil penelitian menunjukkan bahwa inflasi berpengaruh positif terhadap tingkat pengangguran dan kemiskinan di Provinsi Maluku Utara. Kemudian, pengangguran juga berpengaruh positif terhadap tingkat kemiskinan. Semakin tinggi tingkat inflasi dan pengangguran semakin besar tingkat kemiskinan.Kata kunci: Inflasi, Pengangguran, dan Kemiskinan, Maluku Utara Poverty review from the economic dimensions is interpretedas the inability of a person to obtain an established livelihood and provided a decent income to sustainably support life. Poverty is problems that attention any country. Poverty is caused by various factors, such as low investment, high unemployment, and slow economic growth. The purpose of this study was to analyze the effect of inflation on unemployment and poverty, and the effect of unemployment on poverty in North Maluku Provience. This study uses time series data from 2013 to 2018, and path analysis. The results showed that inflation has a positive effect on increasing unemployment and poverty. High unemployment has a positive impact on poverty levels. The higher level of inflation and unemployment, the higher poverty rate in the North Maluku Provience. Keywords: Inflation, Unemployment, Poverty, North Maluku

scholarly journals A national dataset of 30 m annual urban extent dynamics (1985–2015) in the conterminous United States

2020 ◽  
Vol 12 (1) ◽  
pp. 357-371 ◽  
Author(s):  
Xuecao Li ◽  
Yuyu Zhou ◽  
Zhengyuan Zhu ◽  
Wenting Cao
Keyword(s):  
United States ◽  
Urban Area ◽  
Urban Sprawl ◽  
Growth Pattern ◽  
Time Series Data ◽  
Google Earth ◽  
Series Data ◽  
Urban Dynamics ◽  
Urban Extent ◽  
In The Beginning

Abstract. Dynamics of the urban extent at fine spatial and temporal resolutions over large areas are crucial for developing urban growth models and achieving sustainable development goals. However, there are limited practices of mapping urban dynamics with these two merits combined. In this study, we proposed a new method to map urban dynamics from Landsat time series data using the Google Earth Engine (GEE) platform and developed a national dataset of annual urban extent (1985–2015) at a fine spatial resolution (30 m) in the conterminous United States (US). First, we derived the change information of urbanized years in four periods that were determined from the National Land Cover Database (NLCD), using a temporal segmentation approach. Then, we classified urban extents in the beginning (1985) and ending (2015) years at the cluster level through the implementation of a change vector analysis (CVA)-based approach. We also developed a hierarchical strategy to apply the CVA-based approach due to the spatially explicit urban sprawl over large areas. The overall accuracy of mapped urbanized years is around 90 % with the 1-year tolerance strategy. The mapped urbanized areas in the beginning and ending years are reliable, with overall accuracies of 96 % and 88 %, respectively. Our results reveal that the total urban area increased by about 20 % during the period of 1985–2015 in the US, and the annual urban area growth is not linear over the years. Overall, the growth pattern of urban extent in most coastal states is plateaued over the past three decades while the states in the Midwestern US show an accelerated growth pattern. The derived annual urban extents are of great use for relevant urban studies such as urban area projection and urban sprawl modeling over large areas. Moreover, the proposed mapping framework is transferable for developing annual dynamics of urban extent in other regions and even globally. The data are available at https://doi.org/10.6084/m9.figshare.8190920.v2 (Li et al., 2019c).

scholarly journals Temporal analysis of reported cases of tuberculosis and of tuberculosis-HIV co-infection in Brazil between 2002 and 2012

2016 ◽  
Vol 42 (6) ◽  
pp. 416-422 ◽  
Author(s):  
Renato Simões Gaspar ◽  
◽  
Natália Nunes ◽  
Marina Nunes ◽  
Vandilson Pinheiro Rodrigues ◽  
...  
Keyword(s):  
Time Series Data ◽  
Age Groups ◽  
The Elderly ◽  
Temporal Analysis ◽  
Series Data ◽  
Public Health Issue ◽  
Risk Of Death ◽  
The North ◽  
Geographical Regions ◽  
Risk Of Treatment

ABSTRACT Objective: To investigate the reported cases of tuberculosis and of tuberculosis-HIV co-infection in Brazil between 2002 and 2012. Methods: This was an observational study based on secondary time series data collected from the Brazilian Case Registry Database for the 2002-2012 period. The incidence of tuberculosis was stratified by gender, age group, geographical region, and outcome, as was that of tuberculosis-HIV co-infection. Results: Nationally, the incidence of tuberculosis declined by 18%, whereas that of tuberculosis-HIV co-infection increased by 3.8%. There was an overall decrease in the incidence of tuberculosis, despite a significant increase in that of tuberculosis-HIV co-infection in women. The incidence of tuberculosis decreased only in the 0- to 9-year age bracket, remaining stable or increasing in the other age groups. The incidence of tuberculosis-HIV co-infection increased by 209% in the ≥ 60-year age bracket. The incidence of tuberculosis decreased in all geographical regions except the south, whereas that of tuberculosis-HIV co-infection increased by over 150% in the north and northeast. Regarding the outcomes, patients with tuberculosis-HIV co-infection, in comparison with patients infected with tuberculosis only, had a 48% lower chance of cure, a 50% greater risk of treatment nonadherence, and a 94% greater risk of death from tuberculosis. Conclusions: Our study shows that tuberculosis continues to be a relevant public health issue in Brazil, because the goals for the control and cure of the disease have yet to be achieved. In addition, the sharp increase in the incidence of tuberculosis-HIV co-infection in women, in the elderly, and in the northern/northeastern region reveals that the population of HIV-infected individuals is rapidly becoming more female, older, and more impoverished.

scholarly journals Land Use Land Cover Change and its Pathways in Sidin VDC, Panchthar District, Nepal

2018 ◽  
Vol 11 ◽  
pp. 77-94 ◽  
Author(s):  
Prem Sagar Chapagain ◽  
Mohan Kumar Rai ◽  
Basanta Paudel
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Agricultural Land ◽  
Time Series Data ◽  
Household Survey ◽  
Human Interaction ◽  
Series Data ◽  
Land Use Land Cover ◽  
Important Indicator

Land use/land cover situation is an important indicator of human interaction with environment. It reflects both environmental situation and the livelihood strategies of the people in space over time. This paper has attempted to study the land use/ land cover change of Sidin VDC, in the Koshi River basin in Nepal, based on maps and Remote sensing imageries (RS) data and household survey using structured questionnaires, focus group discussion and key informant interview. The study has focused on analysis the trend and pathways of land use change by dividing the study area into three elevation zones – upper, middle and lower. The time series data analysis from 1994-2004-2014 show major changes in forest and agricultural land. The dominant pathways of change is from forest to agriculture and forest to shrub during 1994-2004 and agriculture to forest during 2004-2014. The development of community forest, labor migration and labor shortage are found the major causes of land use change.The Geographical Journal of NepalVol. 11: 77-94, 2018

Transformation in Vegetation and Urban Sprawl in Gotan and Surrounding

2021 ◽  
pp. 111-124
Author(s):  
Rizwan Ahmad ◽  
Ramaraju Sudarshana
Keyword(s):  
Urban Sprawl ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Time Series Data ◽  
Driving Forces ◽  
Landsat Tm ◽  
Series Data ◽  
Monitoring Frequency ◽  
Government Sector

The main driving forces associated with transformation of vegetation cover and urban sprawl, are undoubtedly climate change and human intervention. Finding the truth behind transformation of Gotan, Rajasthan Landsat TM/ETM+ data of the years 1987,1990, 1995, 2000, 2003, 2010, 2015, and 2018 were used. These time series data comprising total of nine scenes were selected to measure the urban and green cover transformation in the past four decades. Landsat TM/ETM+ data were used because it is inexpensive, with high monitoring frequency and covers large areas. The Normalized Difference Vegetation Index (NDVI) of 1987–2018, derived from the remote sensing dataset along with the application of statistical methods and GIS techniques, were used to quantify vegetation cover change. The results show that human-induced factors can explain most variations at sites with significant cover change. It has been a well-known fact that sustainable development presents a system in order to accomplish economic growth, bring about social justice, implement environmental awareness and most certainly the fortification of government sector.

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