scholarly journals A Few GIS Clarifications on Tornado Density Mapping

2016 ◽  
Vol 55 (2) ◽  
pp. 283-296 ◽  
Author(s):  
Yongxin Deng ◽  
Brendan Wallace ◽  
Derek Maassen ◽  
Johnathan Werner
Keyword(s):  
Uncertainty Modeling ◽  
The United States ◽  
Distance Decay ◽  
Geographical Information ◽  
Density Mapping ◽  
Probability Mapping ◽  
Density Maps ◽  
Distance Weighted ◽  
Inverse Distance ◽  
Eastern Half

AbstractA geographical information system (GIS) perspective is taken to examine conceptual and methodological complications present in tornado density and probability mapping. Tornado density is defined as the inverse-distance-weighted count of tornado touchdown points or tornado-affected cells within a neighborhood area. The paper first adds a few geographic elements into the tornado definition and then characterizes tornado density as a density field in GIS that depends on predefined, modifiable areas to exist. Tornado density is therefore conceptually distinguished from both individual tornadoes and tornado probability. Three factors are identified to be vital in tornado density mapping: the neighborhood size, the distance decay function, and the choice of tornado properties. Correspondingly, 12 neighborhood sizes ranging from 20 to 360 km are tested, four distance decay functions are compared, and two tornado properties—tornado touchdown locations and pathlengths—are separately incorporated in mapping. GIS interpretations, clarifications, and demonstrations are provided for these factors to reach a thorough understanding of how the factors function and affect the resultant tornado density maps. Historical tornado data of the eastern half of the United States from 1973 to 2013 are used in these demonstrations. Uncertainty and propagation analyses are recommended for future tornado density and probability mapping, and a Monte Carlo simulation using tornado pathlength data is conducted as an example of uncertainty modeling. In all, tornado density mapping is diagnosed as a largely subjective activity, and the mapper needs to make multiple choices according to the mapping purpose, scale, and the involved tornado record data.

Distance-Weighted Geographic Interpolation

1985 ◽  
Vol 17 (5) ◽  
pp. 667-671 ◽  
Author(s):  
G J G Upton
Keyword(s):  
United States ◽  
Population Density ◽  
United States Of America ◽  
The United States ◽  
Geographical Information ◽  
Distance Weighted

The results of estimates of population density for individual states of the United States of America are compared with those obtained previously by Kennedy and Tobler. The new estimates are much simpler to calculate and of equal accuracy. However, neither method utilises geographical information.

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.

GPTs and growth: evidence on the technological adoption of electrical and electronic technologies in the 1920s

2020 ◽  
Author(s):  
Sergio Petralia
Keyword(s):  
The United States ◽  
General Purpose ◽  
Geographical Information ◽  
General Purpose Technologies ◽  
Technological Adoption ◽  
Transformative Potential ◽  
The Us ◽  
The Impact ◽  
Electronic Technologies ◽  
Patenting Activity

Abstract The pervasive diffusion of electricity-related technologies at the beginning of the twentieth century has been studied extensively to understand the transformative potential of general purpose technologies (GPTs). Most of what we know, however, has been investigated in relation to the diffusion of their use. This article provides evidence on the county-level economic impact of the technological adoption of electrical and electronic (E&E) technologies in the 1920s in the United States (US). It focuses on measuring the impact of a GPT on technological adopters, i.e., those who are able to develop, transform, and complement it. It is shown that places with patenting activity in E&E technologies grew faster and paid higher wages than others between 1920 and 1930. This analysis required constructing a novel database identifying detailed geographical information for historical patent documents in the US since 1836, as well as developing a text-mining algorithm to identify E&E patents based on patent descriptions.

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.

scholarly journals Spatio-Temporal Analysis of PM10 in Southern Peninsular Malaysia

2018 ◽  
Vol 7 (3.9) ◽  
pp. 27
Author(s):  
Mohamad Saiful Mohamad Khir ◽  
Khalida Muda ◽  
Norelyza Hussein ◽  
Mohd Faisal Abdul Khanan ◽  
Mohd Nor Othman ◽  
...  
Keyword(s):  
Air Pollution ◽  
Particulate Matter ◽  
Pollutant Dispersion ◽  
Temporal Analysis ◽  
Peninsular Malaysia ◽  
Inverse Distance Weighted ◽  
Distance Weighted ◽  
Haze Episode ◽  
Spatio Temporal ◽  
Inverse Distance

In this study, the particulate matter with diameter less than 10 micrometers (PM10) is being observed. Other factors that influenced the pollutant dispersion are also being studied prior to identification of their relationship. The aim of this study is to identify the trend of PM10 concentrations in the Southern Peninsular of Malaysia during the period 2005 to 2015 by using spatio-temporal analysis in regards to air pollution. The inverse distance weighted (IDW) is used for the spatio interpolation data and mapping. The trends of the PM10 concentration are illustrated via map which indicates the affected and vulnerable area of Southern Peninsular Malaysia especially during Haze episode.  

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