scholarly journals Akurasi Metode IDW dan Kriging untuk Interpolasi Sebaran Sedimen Tersuspensi di Maros, Sulawesi Selatan

2008 ◽  
Vol 22 (2) ◽  
pp. 145 ◽  
Author(s):  
Gatot H. Pramono
Keyword(s):  
Spatial Analysis ◽  
Coastal Area ◽  
Suspended Sediments ◽  
Kriging Method ◽  
Inverse Distance Weighted ◽  
Physical Conditions ◽  
South Sulawesi ◽  
Distance Weighted ◽  
Inverse Distance ◽  
Total Suspended Sediments

Physical conditions of seawater in coastal area can be studied by sampling at several locations. To perform spatial analysis, the data should be interpolated to get the values between sample points. Several approaches for interpolation may result in different outcomes. The purpose of this research is to compare Inverse Distance Weighted (IDW) and Kriging methods. Their parameters are studied using the total suspended sediments in Maros area, South Sulawesi. The results show that the more accurate interpolation is obtained by using IDW method than using Kriging method.

scholarly journals Akurasi Metode IDW dan Kriging untuk Interpolasi Sebaran Sedimen Tersuspensi

2008 ◽  
Vol 22 (1) ◽  
pp. 97 ◽  
Author(s):  
Gatot H. Pramono
Keyword(s):  
Spatial Analysis ◽  
Coastal Area ◽  
Suspended Sediments ◽  
Kriging Method ◽  
Inverse Distance Weighted ◽  
Physical Conditions ◽  
South Sulawesi ◽  
Distance Weighted ◽  
Inverse Distance ◽  
Total Suspended Sediments

Physical conditions of seawater in coastal area can be studied by sampling at several locations. To perform spatial analysis, the data should be interpolated to get the values between sample points. Several approaches for interpolation may result in different outcomes. The purpose of this research is to compare Inverse Distance Weighted (IDW) and Kriging methods. Their parameters are studied using the total suspended sediments in Maros area, South Sulawesi. The results show that the more accurate interpolation is obtained by using IDW method than using Kriging method.

scholarly journals Data sets on spatial analysis of hydro geochemistry of Gudur area, SPSR Nellore district by using inverse distance weighted method in Arc GIS 10.1

Data in Brief ◽  
2019 ◽  
Vol 22 ◽  
pp. 1003-1011 ◽  
Author(s):  
Veeraswamy Golla ◽  
Nagaraju Arveti ◽  
Balaji Etikala ◽  
Sreedhar Y ◽  
Narasimhlu K ◽  
...  
Keyword(s):  
Spatial Analysis ◽  
Data Sets ◽  
Inverse Distance Weighted ◽  
Distance Weighted ◽  
Arc Gis ◽  
Inverse Distance

scholarly journals SPATIAL DISTRIBUTION OF SURFACE SALINITY AND TEMPERATURE IN BREBES SEAWATER USING SPATIAL ANALYSIS TOOLS – INVERSE DISTANCE WEIGHTED : ITS EFFECTS ON THE OTHER WATER QUALITY PARAMETERS

GEOMATIKA ◽  
2017 ◽  
Vol 23 (1) ◽  
pp. 9
Author(s):  
Wisnu Arya Gemilang ◽  
Ulung Jantama Wisha
Keyword(s):  
Water Quality ◽  
Spatial Analysis ◽  
Ph Value ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Northern Coast ◽  
Inverse Distance Weighted ◽  
Purposive Sampling ◽  
Distance Weighted ◽  
Inverse Distance

<p class="judulabsIndo"><strong>ABSTRACT</strong></p><p class="abstrakindo">The coast of Brebes is an important area for fishing activities. Along the coast of Brebes, there are mangrove conservation areas which part of green belt development program of Java Northern Coast. The purpose of this study was to determine the influence of salinity and temperature to the water quality conditions by employing a spatial analysis method. The measurement of water quality conducted by employing <em>purposive sampling method</em>. The sampling data was taken in the same time of 1 tide condition which forecasted before. The data were analyzed statistically and spatially using <em>inverse distance weighted</em> analysis. Temperature values ranged from 29.4 to 31.8 °C, conductivity ranged from 3.53 – 4.71 S.m<sup>-1</sup> with, pH ranged from 8.04 to 8.52, DO ranged from 3.18 to 6.57 mg.L<sup>-1</sup>, salinity ranged between 22.9 – 32.8 ‰, the value of salinity, temperature, and water quality parameters showed that the distribution is not uniform. It is influenced by the physical dynamics of sea water, which has an severe impact on the environment changes. Salinity and temperature have an impact to conductivity and DO variability but they are not affect the pH value. DO and pH value is higher than the previous research in Brebes waters.</p><pre><strong>Keywords: </strong>brebes<strong>, </strong>coastal, spatial analysis, water quality</pre><p class="judulabsINgg"><strong> ABSTRAK</strong></p><p class="abstrakingg">Pesisir Brebes merupakan kawasan yang penting bagi aktivitas perikanan. Disepanjang pantai Brebes terdapat kawasan konservasi mangrove yang merupakan program pembangunan kawasan sabuk hijau Pantai Utara Jawa. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh salinitas dan temperature terhadap kondisi kualitas perairan dengan menggunakan analisis spasial. Pengukuran sampel air dilakukan dengan metode purposive sampling, pengambilan data berdasarkan peramalan pasang surut. Analisa data dilakukan secara statistic dan spasial dengan menggunakan analisa inverse distance weighted. Nilai suhu berkisar antara 29.8 – 31.8°C, konduktivitas berkisar antara 3.53 – 4.71 S.m<sup>-1</sup>, pH berkisar antara 8,52 – 8,04, DO berkisar antara 3.18 – 6.57 mg.L<sup>-1</sup>, salinitas berkisar antara 22.9 – 32.8 ‰. Nilai dari salinitas, temperature dan parameter kualitas perairan menunjukkan bahwa sebaran konsentrasinya tidak merata yang dipengaruhi oleh dinamika fisis air laut dan keberadaan sungai-sungai utama yang berdampak pada perubahan lingkungan. Salinitas dan temperature memiliki dampak terhadap variasi konduktivitas dan DO, namun tidak terlalu berpengaruh terhadap nilai pH. DO dan pH mengalami peningkatan konsentrasi bila dibandingkan dengan penelitian sebelumnya di perairan Brebes.</p><p><strong><em>Kata Kunci:</em></strong><em> analisis spasial, brebes, kualitas air, pesisir, pencemaran </em></p>

scholarly journals The influence of distance weight on the inverse distance weighted method for ore-grade estimation

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhan-Ning Liu ◽  
Xiao-Yan Yu ◽  
Li-Feng Jia ◽  
Yuan-Sheng Wang ◽  
Yu-Chen Song ◽  
...  
Keyword(s):  
Estimation Accuracy ◽  
Block Model ◽  
Minkowski Distance ◽  
Inverse Distance Weighted ◽  
Grade Estimation ◽  
M 10 ◽  
Weight Calculation ◽  
Distance Weighted ◽  
Inverse Distance ◽  
Ore Grade

AbstractIn order to study the influence of distance weight on ore-grade estimation, the inverse distance weighted (IDW) is used to estimate the Ni grade and MgO grade of serpentinite ore based on a three-dimensional ore body model and related block models. Manhattan distance, Euclidean distance, Chebyshev distance, and multiple forms of the Minkowski distance are used to calculate distance weight of IDW. Results show that using the Minkowski distance for the distance weight calculation is feasible. The law of the estimated results along with the distance weight is given. The study expands the distance weight calculation method in the IDW method, and a new method for improving estimation accuracy is given. Researchers can choose different weight calculation methods according to their needs. In this study, the estimated effect is best when the power of the Minkowski distance is 3 for a 10 m × 10 m × 10 m block model. For a 20 m × 20 m × 20 m block model, the estimated effect is best when the power of the Minkowski distance is 9.

scholarly journals IN BATHYMETRIC SURFACES: IDW OR KRIGING?

2017 ◽  
Vol 23 (3) ◽  
pp. 493-508 ◽  
Author(s):  
Italo Oliveira Ferreira ◽  
Dalto Domingos Rodrigues ◽  
Gérson Rodrigues dos Santos ◽  
Lidiane Maria Ferraz Rosa
Keyword(s):  
Universal Kriging ◽  
Digital Model ◽  
Inverse Distance Weighted ◽  
Scientific Methods ◽  
Distance Weighted ◽  
Sample Points ◽  
Computational Representation ◽  
Inverse Distance ◽  
Mineral Prospecting

Abstract: The representation of the submerged relief is very importance in diverse areas of knowledge such as Projects to build or reassess port dimensions, installation of moles, ducts, marinas, bridges, tunnels, mineral prospecting, waterways, dredging, silting control of river and lakes, and others. The depths of the aquatic bodies, indispensable for the representation of those, are obtained through the bathymetric surveys. However, the result of a bathymetric sampling is a grid of points that, for itself, it is not capable of generating directly the Digital Model of Depth (DMD), being necessary the use of interpolators. Currently, there are more than 40 available scientific methods of interpolation, each one with its particularities and characteristics. This study has the objective to analise, comparing, the efficiency of Universal Kriging (UK) and of the Inverse Distance Weighted (IDW) in the computational representation of bathymetric surfaces, varying in a decreasing way the quantity of sample points. Through the results, we can be stated the superiority of the interpolator Universal Kriging in efficiency in creating DMD with basis in the bathymetric surveys data.

scholarly journals PEMODELAN GENERALIZED SPACE TIME AUTOREGRESSIVE (GSTAR) SEASONAL PADA DATA CURAH HUJAN EMPAT KABUPATEN DI PROVINSI JAWA TENGAH

2019 ◽  
Vol 8 (4) ◽  
pp. 418-427
Author(s):  
Eko Siswanto ◽  
Hasbi Yasin ◽  
Sudarno Sudarno
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Space Time ◽  
Series Data ◽  
Inverse Distance Weighted ◽  
Modeling And Forecasting ◽  
Distance Weighted ◽  
The Relationship ◽  
Inverse Distance

In many applications, several time series data are recorded simultaneously at a number of locations. Time series data from nearby locations often to be related by spatial and time. This data is called spatial time series data. Generalized Space Time Autoregressive (GSTAR) model is one of space time models used to modeling and forecasting spatial time series data. This study applied GTSAR model to modeling volume of rainfall four locations in Jepara Regency, Kudus Regency, Pati Regency, and Grobogan Regency. Based on the smallest RMSE mean of forecasting result, the best model chosen by this study is GSTAR (11)-I(1)12 with the inverse distance weighted. Based on GSTAR(11)-I(1)12 with the inverse distance weighted, the relationship between the location shown on rainfall Pati Regency influenced by the rainfall in other regencies. Keywords: GSTAR, RMSE, Rainfall

scholarly journals ACIDENTES COM TRATORES NAS REGIÕES BRASILEIRAS

2019 ◽  
Vol 34 (01) ◽  
pp. 1-9
Author(s):  
Isabela Oliveira Lima ◽  
Leonardo De Almeida Monteiro ◽  
Elivania Maria Sousa Nascimento ◽  
Rafaela Paula Melo ◽  
Mara Alice Maciel dos Santos
Keyword(s):  
Rural Areas ◽  
Exponential Model ◽  
The South ◽  
Inverse Distance Weighted ◽  
The North ◽  
Gis Tools ◽  
Distance Weighted ◽  
E Mail ◽  
Inverse Distance ◽  
Agricultural Machines

ACIDENTES COM TRATORES NAS REGIÕES BRASILEIRAS   ISABELA OLIVEIRA LIMA1; LEONARDO DE ALMEIDA MONTEIRO2; ELIVANIA MARIA SOUSA NASCIMENTO3; RAFAELA PAULA MELO4 E MARA ALICE MACIEL DOS SANTOS5   [1] Doutoranda em Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n – Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 2 Professor Doutor, Universidade Federal do Ceará-UFC, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 3Doutoranda em Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 4Doutora em Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected] 5Mestre e Engenharia Agrícola, Departamento de Engenharia Agrícola, Bloco 804, s/n - Pici, cep:60455-760, Fortaleza - CE, Brasil. E-mail: [email protected]   RESUMO: Acidentes de trabalho no meio rural estão se tornando cada dia mais frequentes, e se faz necessário a identificação destes para que se possa implementar medidas preventivas. Em consonância a essa busca o presente trabalho objetivou-se a mapear acidentes com máquinas agrícolas sucedidos no Brasil no período de janeiro de 2013 a maio de 2016, usando técnicas de geoprocessamento para a confecção dos mapas. Os dados foram obtidos a partir de um compilado de informações de acidentes ocorridos no período. Foram desenvolvidos mapas pelo IDW (Inverse Distance Weighted), permitindo a identificação das áreas de maior e menor concentração de acidentes. Os dados analisados foram submetidos a uma verificação da dependência espacial das variáveis, pela análise geoestatística, segundo Yamamoto e Landim (2015). Os resultados demonstram uma maior concentração de acidentes na região Sul do país. As regiões Sul e Norte apresentaram médias de acidentes iguais a do território nacional. A menor média de acidentes foi na região Nordeste (1,2 acidentes/Estado). As regiões Sul, Sudeste, Centro oeste e Nordeste apresentaram como modelo efeito pepita puro (EPP), enquanto que a região Norte apresentou modelo exponencial. O uso de ferramentas de SIG mostrou-se eficiente para o mapeamento dos acidentes com tratores nas regiões brasileiras.   Palavras-chaves: Segurança, Prevenção, Georreferenciamento, Mecanização agrícola.   ACCIDENTS WITH TRACTORS IN THE BRAZILIAN REGIONS   ABSTRACT: Accidents at work in rural areas are becoming more frequent, and their identification is necessary so that preventive measures can be implemented. In line with this search, the present work aimed to map accidents with agricultural machines succeeded in Brazil from January 2013 to May 2016, using geoprocessing techniques to make maps. Data were obtained from a compilation of information on accidents occurring in the period. Maps were developed by IDW (Inverse Distance Weighted), allowing the identification of areas with the highest and lowest concentration of accidents. Os dados analisados foram submetidos a uma verificação da dependência espacial das variáveis, pela análise geoestatística, segundo Yamamoto e Landim (2015). The results show a higher concentration of accidents in the southern region of the country. The South and North regions had accident averages equal to the national territory. The lowest average of accidents was in the Northeast region (1.2 accidents / State). The South, Southeast, Midwest and Northeast regions presented as pure nugget effect (EPP) model, while the North region presented exponential model. The use of GIS tools proved to be efficient for the mapping of tractor accidents in the Brazilian regions.   Keywords: safety, prevention, georeferencing, agricultural mechanization.

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