Spatial analysis on distribution patterns of poverty incidences in Peninsular Malaysia

2019 ◽  
Author(s):  
Syerrina Zakaria ◽  
Nuzlinda Abdul Rahman ◽  
Nuredayu Zaini
Keyword(s):  
Spatial Analysis ◽  
Distribution Patterns ◽  
Peninsular Malaysia

scholarly journals Spatial Interpolation on Rainfall Data over Peninsular Malaysia Using Ordinary Kriging

2013 ◽  
Vol 63 (2) ◽  
Author(s):  
Suhaila Jamaludin ◽  
Hanisah Suhaimi
Keyword(s):  
Spatial Analysis ◽  
Ordinary Kriging ◽  
Spatial Interpolation ◽  
Rainfall Intensity ◽  
Peninsular Malaysia ◽  
Rainfall Data ◽  
Kriging Method ◽  
Intensity Index ◽  
Dry Conditions ◽  
Two Indices

This study presents the spatial analysis of the rainfall data over Peninsular Malaysia. 70 rainfall stations were utilized in this study. Due to the limited number of rainfall stations, the Ordinary Kriging method which is one of the techniques in Spatial Interpolation was used to estimate the values of the rainfall data and to map their spatial distribution. This spatial analysis was analysed according to the two indices that describe the wet events and another two indices that characterize dry conditions. Large areas at the east experienced high rainfall intensity compared to the areas in the west, northwest and southwest. The small value that has been obtained in Aridity Intensity Index (AII) reflects that the high amount of rainfall in the eastern areas is not contributed by low-intensity events (less than 25th percentile). In terms of number of consecutive dry days, Northwestern areas in Peninsular Malaysia recorded the highest value. This finding explains the occurrence of a large number of floods and soil erosions in the eastern areas.

scholarly journals Spatial Analysis of the Air Pollutant Index in the Southern Region of Peninsular Malaysia Using Environmetric Techniques

2013 ◽  
pp. 307-312 ◽  
Author(s):  
Azman Azid ◽  
Hafizan Juahir ◽  
Ahmad Zaharin Aris ◽  
Mohd Ekhwan Toriman ◽  
Mohd Talib Latif ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Peninsular Malaysia ◽  
Air Pollutant ◽  
Southern Region

scholarly journals Spatial analysis of early mangrove regeneration in the Matang Mangrove Forest Reserve, Peninsular Malaysia, using geomatics

2020 ◽  
Vol 472 ◽  
pp. 118213
Author(s):  
Viviana Otero ◽  
Richard Lucas ◽  
Ruben Van De Kerchove ◽  
Behara Satyanarayana ◽  
Husain Mohd-Lokman ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Mangrove Forest ◽  
Peninsular Malaysia ◽  
Forest Reserve

scholarly journals Spatial Distribution of Leptospirosis and Land Use in Bantul District, 2010-2018

2020 ◽  
Vol 4 (1) ◽  
pp. 31
Author(s):  
Nur Lathifah Syakbanah
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Spatial Analysis ◽  
Environmental Changes ◽  
Distribution Patterns ◽  
Effective Control ◽  
Residential Areas ◽  
Populations At Risk ◽  
Surveillance Programs ◽  
The Government

Land use is an important environmental factor in the dynamics of human health. In the case of leptospirosis, environmental transmission cycles are caused by rat transition, environmental changes and populations at risk. Utilization of GIS-based spatial analysis may help detecting distribution patterns of leptospirosis cases, allocating resources and planning effective control and surveillance programs in endemic areas. This study aims to analyze the spatial distribution of leptospirosis based on land use and stream flow in Bantul District, 2010-2018. This ecological study was conducted in Bantul District, Yogyakarta for 9 years. Spatial analysis overlays processed data on leptospirosis cases per village and land use maps of 2016 using QGIS 3.0. Spatial distribution of 12 of high leptospirosis villages (18-35 cases) are in residential areas, tributaries, croplands, irrigated fields, rain-fed rice fields, and plantations. Those villages was crossed by major river basin which is potentially as transmission media of leptospirosis cases after heavy rainfall. It is suggested to increase the Early Awareness and Alert (EAA) system by active surveillance of early case finding from the government and endemic villagers.

scholarly journals Using Google Earth to improve management of threatened limestone karst ecosystems in Peninsular Malaysia

2016 ◽  
Author(s):  
Thor-Seng Liew ◽  
Liz Price ◽  
Gopalasamy Reuben Clements
Keyword(s):  
Distribution Patterns ◽  
Forest Degradation ◽  
Peninsular Malaysia ◽  
Google Earth ◽  
Biological Data ◽  
Biological Information ◽  
Karst Ecosystems ◽  
Conservation Prioritisation ◽  
Degree Of Isolation ◽  
Limestone Hill

AbstractBiodiversity conservation is now about prioritisation, especially in a world with limited resources and so many habitats and species in need of protection. However, we cannot prioritise effectively if historical and current information on a particular habitat or species remains scattered. Several good platforms have been created to help users to find, use and create biodiversity information. However, good platforms for sharing habitat information for threatened ecosystems are still lacking. Limestone hills are an example of threatened ecosystems that harbour unique biodiversity, but are facing intensifying anthropogenic disturbances. As limestone is a vital resource for the construction industry, it is not possible to completely halt forest degradation and quarrying in developing countries such as Malaysia, where 445 limestone hills have been recorded in the peninsula to date. As such, there is an urgent need to identify which hills must be prioritised for conservation. To make decisions based on sound science, collating spatial and biological information on limestone hills into a publicly accessible database is critical. Here, we compile Malaysia’s first limestone hill GIS map for 445 limestone hills in the peninsula based on information from geological reports and scientific literature. To assist in conservation prioritisation efforts, we quantify characteristics of limestone hills in terms of size, degree of isolation, and spatial distribution patterns and also assessed the degree of habitat disturbance of each limestone hill in terms of buffer area forest degradation and quarrying activity. All this information is stored in a KMZ file and can be accessed through the Google Earth interface. This product should not be viewed as a final output containing basic limestone hill information. Rather, this database is a foundational platform for users to collect, store, update and manipulate spatial and biological data from limestone hills to better inform decisions regarding their management.

scholarly journals Spatial Distribution of Picophytoplankton in Southeastern Coast of Peninsular Malaysia Using Flow Cytometry

2021 ◽  
Vol 29 (3) ◽  
Author(s):  
Roswati Md Amin ◽  
Md Suffian Idris ◽  
Nurul Asmera Mudiman ◽  
Noor Hazwani Mohd Azmi ◽  
Hing Lee Siang
Keyword(s):  
Flow Cytometry ◽  
Spatial Distribution ◽  
Distribution Patterns ◽  
Southwest Monsoon ◽  
Peninsular Malaysia ◽  
Percentage Contribution ◽  
Southeastern Coast ◽  
Ocean Productivity ◽  
The Impact

The distribution of picocyanobacteria from two genera, Synechococcus and Prochlorococcus, and picoeukaryotes in surface water (0.5 m) was investigated by flow cytometry in the southeastern coast of Peninsular Malaysia during the Southwest monsoon in August 2014. During the cruise, Synechococcus cells were predominant throughout the study area, contributing as much as 50% to the total picophytoplankton population, whereas picoeukaryotes and Prochlorococcus constituted only 31% and 19% of the population, respectively. Spatially, Synechococcus and picoeukaryotes were more dominant in coastal waters, while Prochlorococcus appeared to be more highly abundant in offshore waters. Furthermore, the percentage contribution of each population to total picophytoplankton also exhibited different spatial distribution patterns along a coastal-offshore gradient. The percentage contribution of Synechococcus was spatially constant throughout the study area, while the fraction contributed by picoeukaryotes showed a reduced contribution from coastal to offshore waters. In contrast, Prochlorococcus exhibited an increased proportion to total picophytoplankton across a coastal-offshore gradient, suggesting the increasing importance of this population in offshore waters of the study area. As revealed by Canonical Correlation Analysis, the abundance of Synechococcus and picoeukaryotes increased significantly with reducing dissolved oxygen levels and pH, and with increasing total chlorophyll. In contrast, temperature was the only factor influencing the abundance of Prochlorococcus significantly increased with decreasing water temperature in the study area. Overall, results of the present study provide valuable information on the role of regional environmental factors in the distribution and dominance of picophytoplankton communities that are not only critical for the ocean productivity but also the impact on the carbon cycle in the study area.

scholarly journals SPATIAL ANALYSIS OF EROSIVE PROCESSES IN PLATEAUS AND DEPRESSIONS OF THE UPPER PARAGUAI RIVER BASIN

GEOGRAFIA ◽  
2018 ◽  
Vol 42 (3) ◽  
pp. 145-157
Author(s):  
Daniel Dias de ANDRADE ◽  
João dos Santos Vila da SILVA ◽  
Vera Aparecida FIGUEIREDO ◽  
Elisa Calhau de CASTRO
Keyword(s):  
Statistical Analysis ◽  
Spatial Analysis ◽  
River Basin ◽  
Spatial Dependence ◽  
Distribution Patterns ◽  
Drainage Basins ◽  
Entire Area ◽  
Mato Grosso ◽  
Natural Characteristics ◽  
Frequency Diagram

Natural characteristics may contribute to the erosion of the soil and to environmental imbalances, and in most cases, they initiate the imbalances that will be exacerbated by human activities. The presence of asymmetry in a frequency diagram is a valuable fact, and may indicate irregularity in the occurrence of events or aggregation of events in preferred locations. Thus, this work aims to demonstrate the use of Geographic Information Systems (GIS) of statistical analysis based on patterns of frequency, density, distribution and spatial dependence of sample points through a cutout of the mapping of the geotechnical aspects conducted for the State of Mato Grosso, generated for the entire area of plateaus and depressions of the Upper Paraguai river basin and its internal units of drainage basins. In most cutouts used in the analysis, the values indicated that is void the possibility that the distribution patterns of erosive events were resulted of chance. The aggregate pattern shown may tend to attract new points, facilitating the transmission of the sample.s qualities through these, favored by your proximity and by the characteristics of the occurrence area

scholarly journals Spatial Imbalance Between Tourist Supply and Demand: The Identification of Spatial Clusters in Extremadura, Spain

2020 ◽  
Vol 12 (4) ◽  
pp. 1651 ◽  
Author(s):  
María Cristina Rodríguez Rangel ◽  
Marcelino Sánchez Rivero
Keyword(s):  
Information Systems ◽  
Spatial Analysis ◽  
Geographic Information Systems ◽  
Supply And Demand ◽  
Spatial Association ◽  
Distribution Patterns ◽  
Spatial Clusters ◽  
Sustainable Tourism Development ◽  
Tourism Sector ◽  
Global Moran’S I

The techniques provided by spatial analysis have become a great ally of tourist planning as they allow the carrying out of exhaustive territorial analyses. The greater availability of georeferenced databases together with the more and more extensive use of GIS (Geographic Information Systems) is materialising in the proliferation of studies analysing the distribution patterns of tourist territories. The present study uses these techniques to study the degree of equilibrium in the distribution of places and its level of occupation in a region where the use of expansionary policies of growth of the tourism sector has been able to cause a strong imbalance in said activity, i.e., the case of the region of Extremadura. To verify this, both global contrasts, global Moran’s I and G (d) of Getis and Ord, are used, as well as local contrasts, to map LISA (Local Indicators of Spatial Association). The results obtained confirm the existence of strong imbalances in the effectiveness of the places created while allowing the identification of different clusters of high and low values. These findings represent an important output for the strategic planning of the territory in order to develop a strategy that allows the sustainable tourism development of the territory.

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