scholarly journals ANALISIS KRIGING UNTUK MENDETEKSI POLA SPASIAL KASUS DBD DI KABUPATEN TANAH LAUT

2020 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Sri Mulyanie Hardiyanthy ◽  
Dewi Sri Susanti ◽  
Thresye Thresye
Keyword(s):  
Spatial Patterns ◽  
Spatial Information ◽  
Geographical Location ◽  
Kriging Method ◽  
Natural Conditions ◽  
Thematic Map ◽  
Simple Kriging ◽  
Regionalized Variables ◽  
The Earth ◽  
Diverse Pattern

Geostatistics is a data processing in geological field that contains spatial information in it. Spatial information is information that identifies geographical location, characteristics of natural conditions and boundaries of the earth. Geostatistics is used to handle regionalized variables. One of the method that used to handle regionalized variables is the kriging method. The kriging method has a lot of expansion in its development, including the Simple Kriging method and the Cokriging method. Both of these methods will be applied in case studies of spatial patterns of dengue in Tanah Laut District. The purpose of this study was to estimate the distribution pattern of DHF in Tanah Laut District and compare the results of the RMSE method of Simple Kriging and Cokriging. The smallest RMSE value was compared and selected, followed by estimation using the Cokriging and Simple Kriging methods. From the two methods used the smallest RMSE value is in the Simple Kriging method. But when you looked from the thematic map of the distribution of dengue patients with the Cokriging and Simple Kriging method, it can be seen that the Cokriging method has a more diverse pattern.   Keywords: geostatisticts , Cokriging , Simple Kriging , DHF

GEOGRAPHY OF FREE ECONOMIC ZONES:WORLD EXPERIENCE AND UZBEKISTAN

2020 ◽  
Vol 4 (3) ◽  
pp. 40-51
Author(s):  
Shaxzod Ibragimov ◽  
◽  
Quvonchbek Sag`dullayev ◽  
Bibisora Sadibekova
Keyword(s):  
Geographical Location ◽  
Investment Climate ◽  
Natural Conditions ◽  
Economic Relations ◽  
Investment Projects ◽  
Free Economic Zone ◽  
Economic Zone ◽  
Economic Zones

This article describes geographical foundations of free economic zones. Each free economic zone has a unique economic geographical location, natural conditions and resources. These factors play an important role in the development of free economic zones. Various forms of free economic zones in world countries, territorial investment conditions, their level favorableness and investment climate, maintaining foreign economic relations, as well as the development of investment projects are determined by the geographical indicators of free economic zones

scholarly journals Is a spatial investigation possible without long-distance refit/conjoin? Application to the MIS 11 lithic assemblage of levels E and J from La Cansaladeta site (Tarragona, Spain)

2021 ◽  
Vol 13 (9) ◽  
Author(s):  
Görkem Cenk Yeşilova ◽  
Andreu Ollé ◽  
Josep Maria Vergès
Keyword(s):  
Spatial Patterns ◽  
Spatial Information ◽  
Small Dimension ◽  
Middle Pleistocene ◽  
Small Scale ◽  
Spatial Pattern Analysis ◽  
Long Distance ◽  
Great Opportunity ◽  
Density Mapping ◽  
Study Materials

AbstractIn this manuscript, we present the first systematic refitting results of the small-scale Middle Pleistocene (MIS11) rock shelter site of La Cansaladeta. The lithic materials that have been recovered from the archaeological levels E and J were the main study materials. These levels were investigated regarding spatial pattern analysis and analyzed with auxiliary methods such as quantitative density mapping demonstration and technological analysis of the lithic clusters. Thus, the spatial patterns of the two levels were compared and discussed, in terms of connections, clusters, and movement of the lithic elements. Undoubtedly, the well preservation of the archaeological levels offered a great opportunity for the interpretation of the spatial patterns in a high-resolution perspective. La Cansaladeta has not been paid attention adequately so far may be due to the small dimension of the excavation surface or to the scarcity of faunal record. Our results show that small-scale sites without long-distance refit/conjoin connections can provide significant spatial information. Indeed, if the sites have very well-preserved archaeological levels, the absence of long connections can be supported by the auxiliary methods.

scholarly journals Review of the Kriging Technique Applications to Groundwater Quality

2021 ◽  
Vol 27 (12) ◽  
pp. 23-32
Author(s):  
Hayat Azawi ◽  
May Samir Saleh
Keyword(s):  
Groundwater Quality ◽  
Quality Indicator ◽  
Ordinary Kriging ◽  
Indicator Kriging ◽  
Disjunctive Kriging ◽  
Kriging Method ◽  
Lognormal Kriging ◽  
Groundwater Contaminants ◽  
Simple Kriging

Kriging, a geostatistical technique, has been used for many years to evaluate groundwater quality. The best estimation data for unsampled points were determined by using this method depending on measured variables for an area. The groundwater contaminants assessment worldwide was found through many kriging methods. The present paper shows a review of the most known methods of kriging that were used in estimating and mapping the groundwater quality. Indicator kriging, simple kriging, cokriging, ordinary kriging, disjunctive kriging and lognormal kriging are the most used techniques. In addition, the concept of the disjunctive kriging method was explained in this work to be easily understood.

Quality Based on a Spatial SERVQUAL Model in Healthcare

2012 ◽  
pp. 209-219
Author(s):  
Stelios Zimeras
Keyword(s):  
Performance Management ◽  
Real Time ◽  
Spatial Information ◽  
Spatial Interaction ◽  
Health Sector ◽  
Geographical Location ◽  
Quality Of Healthcare ◽  
Local Health ◽  
Time Data ◽  
Health Trends

The main purpose of this work is to represent an alternative effective model for measuring the quality of healthcare (SERVQUAL) considering the geographical location of the under examination healthcare sectors. Based on that consideration, a new modeling is taking place introducing a spatial interaction between neighboring regions (spatial-SERVQUAL model). New directions are analyzed implementing specific questionnaires taking advantage of the spatial information given by the evaluation of the model. Moreover the role of spatial information in the health sector in relation to, for example, local health improvement performance management, is analyzed to support needs assessment and resource targeting as one of the principal action points in healthcare policies. Finally, the benefits of the GIS systems are illustrated, combined with the spatial assumptions, introducing a real-time health and disease monitoring tool to identify significant health trends in real-time data streams and geographic information systems.

scholarly journals Balancing geo-privacy and spatial patterns in epidemiological studies

2017 ◽  
Author(s):  
Chien-Chou Chen ◽  
Jen-Hsiang Chuang ◽  
Da-Wei Wang ◽  
Chien-Min Wang ◽  
Bo-Cheng Lin ◽  
...  
Keyword(s):  
Public Health ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Patterns ◽  
Spatial Information ◽  
Health Workers ◽  
Epidemiological Studies ◽  
Processing Data ◽  
Public Health Workers ◽  
Dengue Epidemic

To balance the protection of geo-privacy and the accuracy of spatial patterns, we developed a geo-spatial tool (GeoMasker) intended to mask the residential locations of patients or cases in a geographic information system (GIS). To elucidate the effects of geo-masking parameters, we applied 2010 dengue epidemic data from Taiwan testing the tool’s performance in an empirical situation. The similarity of pre- and post-spatial patterns was measured by D statistics under a 95% confidence interval. In the empirical study, different magnitudes of anonymisation (estimated Kanonymity ≥10 and 100) were achieved and different degrees of agreement on the pre- and post-patterns were evaluated. The application is beneficial for public health workers and researchers when processing data with individuals’ spatial information.

scholarly journals Facing a Second Wave from a Regional View: Spatial Patterns of COVID-19 as a Key Determinant for Public Health and Geoprevention Plans

2020 ◽  
Vol 17 (22) ◽  
pp. 8468
Author(s):  
Olga De Cos ◽  
Valentín Castillo ◽  
David Cantarero
Keyword(s):  
Public Health ◽  
Spatial Patterns ◽  
Information Technologies ◽  
Spatial Information ◽  
Spatial Behavior ◽  
Geographical Information ◽  
Geographic Information Technologies ◽  
Systems Research ◽  
Health Authorities ◽  
Johns Hopkins University

Several studies on spatial patterns of COVID-19 show huge differences depending on the country or region under study, although there is some agreement that socioeconomic factors affect these phenomena. The aim of this paper is to increase the knowledge of the socio-spatial behavior of coronavirus and implementing a geospatial methodology and digital system called SITAR (Fast Action Territorial Information System, by its Spanish acronym). We analyze as a study case a region of Spain called Cantabria, geocoding a daily series of microdata coronavirus records provided by the health authorities (Government of Cantabria—Spain) with the permission of Medicines Ethics Committee from Cantabria (CEIm, June 2020). Geocoding allows us to provide a new point layer based on the microdata table that includes cases with a positive result in a COVID-19 test. Regarding general methodology, our research is based on Geographical Information Technologies using Environmental Systems Research Institute (ESRI) Technologies. This tool is a global reference for spatial COVID-19 research, probably due to the world-renowned COVID-19 dashboard implemented by the Johns Hopkins University team. In our analysis, we found that the spatial distribution of COVID-19 in urban locations presents a not random distribution with clustered patterns and density matters in the spread of the COVID-19 pandemic. As a result, large metropolitan areas or districts with a higher number of persons tightly linked together through economic, social, and commuting relationships are the most vulnerable to pandemic outbreaks, particularly in our case study. Furthermore, public health and geoprevention plans should avoid the idea of economic or territorial stigmatizations. We hold the idea that SITAR in particular and Geographic Information Technologies in general contribute to strategic spatial information and relevant results with a necessary multi-scalar perspective to control the pandemic.

scholarly journals Changes in Rainfall and Climate Classification in South Sulawesi

2021 ◽  
Vol 2 (5) ◽  
pp. 37-50
Author(s):  
Ridahwati Ridahwati
Keyword(s):  
Rainfall Intensity ◽  
Geographical Location ◽  
Subtropical Climate ◽  
The Sun ◽  
Q Value ◽  
Climate Classification ◽  
Climate Type ◽  
South Sulawesi ◽  
The Earth

The study discuss about Changes in Rainfall and Climate Classification in South Sulawesi. The climate of the Earth is determined by the location of the sun in relation to the earth's surface. Geographical location influences the categorization of climate on our planet. The results of the study (1) Rainfall in Bone Regency has been classified as high rainfall intensity for the last 10 years; (2) Determination of climate classification can be done by processing rainfall data obtained from data before weighting, after weighting, ranking, and opportunity; (3) The climate classification according to Schmidt-Ferguson for Bone Regency has a B climate type, which is a humid subtropical climate; and (4) The climate classification according This is based on a comparison of the number of dry months (BK) and wet months (BB), from which the Q value is obtained, which is then used to determine the type of climate according to Schmidt-Ferguson; (4) Oldeman's climate classification for Bone Regency has a C1 climate type, which has the characteristics of planting lowland rice once a year and secondary crops twice a year; (5) Oldeman's climate classification for Bone Regency has a This is based on the number of Wet Months (BB) and Dry Months (BK) in a given year

scholarly journals Understanding Hydrologic Variability across Europe through Catchment Classification

2016 ◽  
Author(s):  
Anna Kuentz ◽  
Berit Arheimer ◽  
Yeshewatesfa Hundecha ◽  
Thorsten Wagener
Keyword(s):  
Spatial Patterns ◽  
Geographical Location ◽  
Dynamic Modelling ◽  
Regression Tree ◽  
Classification And Regression Tree ◽  
Low Flow ◽  
Average Percentage ◽  
Continental Scale ◽  
Hydrologic Variability ◽  
Predictions In Ungauged Basins

Abstract. This study contributes to better understanding the physical controls on spatial patterns of pan-European flow signatures – taking advantage of large open datasets for catchment classification and comparative hydrology. We explored similarities in 16 flow signatures and 35 catchment descriptors across entire Europe. A database of catchment descriptors and selected flow signatures was compiled for 35 215 catchments and 1366 river gauges across Europe. Correlation analyses and stepwise regressions were used to identify the best explanatory variables for each signature resulting in a total of 480 regression models to predict signatures for similar catchments. Catchments were clustered and analyzed for similarities in flow signature values, physiography and for the combination of the two. From the statistical analysis, we found: (i) about 400 statistically significant correlations between flow signatures and physiography; (ii) a 15 to 33 % (depending on the classification used) improvement in regression model skills using catchment classification vs. the full domain; and (iii) 12 out of 16 flow signatures to be mainly controlled by climatic characteristics, while topography was the main control for flashiness of flow and low flow magnitude, and geology for the flashiness of flow. Classifying catchments based on flow signatures or on physiographic characteristics led to very different spatial patterns, but a classification and regression tree (CART) allowed us to predict flow signatures-based classes according to catchment physiographic characteristics with an average percentage of 60 % of correctly classified catchments in each class. As a result, we show that Europe can be divided into ten classes with both similar flow signatures and physiography. We noted the importance of separating energy-limited catchments from moisture-limited catchment to understand catchment behavior. For improved understanding, we interpreted characteristics in hydrographs, flow signatures, physiography and geographical location to define dominant flow-generating processes. We found that rainfall response, snow-melt, evapotranspiration, damping, storage capacity, and human alterations could explain the hydrologic variability across Europe. Finally, we discuss the relevance of these empirical results for predictions in ungauged basins across Europe and for dynamic modelling at the continental scale.

scholarly journals Spatial Patterns of Development: A Meso Approach

2018 ◽  
Vol 10 (1) ◽  
pp. 383-410 ◽  
Author(s):  
Stelios Michalopoulos ◽  
Elias Papaioannou
Keyword(s):  
Spatial Patterns ◽  
Spatial Data ◽  
Satellite Images ◽  
Regression Discontinuity ◽  
Spatial Regression ◽  
Future Research ◽  
The Past ◽  
Country Level ◽  
The Earth ◽  
Regression Discontinuity Designs

Over the past two decades, the literature on comparative development has moved from country-level to within-country analyses. The questions asked have expanded in scope as economists have used satellite images of light density at night and other big spatial data to proxy for development at the desired level. The focus has also shifted from uncovering correlations to identifying causal relations, using elaborate econometric techniques including spatial regression discontinuity designs. In this review, we show how the combination of geographic information systems with insights from disciplines ranging from the earth sciences to linguistics and history has transformed the research landscape on the roots of the spatial patterns of development. We discuss the limitations of the luminosity data and associated econometric techniques and conclude by offering some thoughts on future research.

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