Positional Uncertainty Estimation and Visualization of a Triangular Tessellation

2011 ◽  
Vol 58-60 ◽  
pp. 2057-2062
Author(s):  
Jian Hong Cai ◽  
De Ren Li ◽  
Dao Lin Zhu
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Real World ◽  
Land Surface ◽  
Uncertainty Estimation ◽  
Positional Uncertainty ◽  
Digital World ◽  
Modeling Errors ◽  
The Difference ◽  
Triangular Tessellation

A triangulated irregularly network (TIN) is always used to describe the land surface in a geographic information system (GIS), while the land surface abstracted and simplified has modeling errors inevitably, which play an important role in uncertainty estimation, while are ignored in the GIS literature. In this paper, we consider modeling errors and use error promulgation law to estimate positional uncertainty of a triangular tessellation. It indicates the difference between complex entities in the real world and geographic objects simplified in a digital world, and it makes uncertainty complete and credible.

scholarly journals PEMANFAATAN CITRA SATELIT LANDSAT 8 UNTUK MEMETAKAN SEBARAN TITIK PANASSEBAGAI INDIKASI PENINGKATAN SUHU PERMUKAAN TANAH DI KABUPATEN KUTAI TIMUR

2021 ◽  
Vol 46 (3) ◽  
pp. 383
Author(s):  
Donny Dhonanto ◽  
Nurul Puspita Palupi ◽  
Ghaisani Salsabila
Keyword(s):  
Land Use ◽  
Information System ◽  
Data Analysis ◽  
Geographic Information System ◽  
Surface Temperature ◽  
Land Surface ◽  
Maximum Temperature ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Area Distribution

 Transformation of land-use cause forest area decrease that will affect microclimate (weather tends heat), thus hotspot may possible to scattered in that area and raise the transformation of surface temperature. The objective of this research is to determine the indication of surface temperature in the East Kutai District. The advantage of this research is to give information about hotspot area distribution based on land use and relate between hotspots with surface temperature increase so it is supposed to be one of the consider to transform land use in East Kutai District. This research was held from April until May 2019 at the Laboratory of Carthography and Geographic Information System, Faculty of Agriculture, Mulawarman University. This research using calculation of Land Surface Temperature (LST) value to determine the transformation of surface temperature in East Kutai District by data analysis from Landsat-8 OLI/TIRS satellite. Hotspot area distribution adapted to map of land-use so we found the source of the hotspot. The result of the research shows there are about 6 hotspots in land-use of plantation in 2017 and the increase of the surface temperature is not static cause by depending of rainfall in East Kutai District. Increasing of surface temperature in East Kutai District in October 2013 become 22.35 oC (for minimum temperature), whereas in May 2017 become 37.24 oC (for maximum temperature). 

scholarly journals Aplikasi Sistem Informasi Geografi (Gis) untuk Pemetaan dan Simulasi Erosi Tanah

2018 ◽  
Vol 22 (1) ◽  
pp. 60
Author(s):  
Mujiyo Mujiyo ◽  
Sumani Sumani ◽  
Joko Winarno
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Soil Erosion ◽  
Geographic Information ◽  
Gis Analysis ◽  
Land Area ◽  
The Difference ◽  
Arcview Gis ◽  
Method R ◽  
Erosion Intensity

<p>The aims of the research are to use the technology of the geographic information system for mapping and simulation of the soil erosion, and to know the difference betweet actual and potential erosion on the spesific land use type. The area of the research is Jumapolo District, Karanganyar Regency. USLE equation method (R=R.K.L.S.C.P) was used to predict the soil erosion intensity. The steps of the research are (1) pre-survey, prepared equipments for suvey, (2) survey, was done by exploring predertemined land map unit, and (3) labs, analysis of the soil samples, the rainfall data and teh ArcView GIS. Analysis was done using rating based on Zachar (1982) in order to know the difference of the soil erosion intensity.</p>The results of the research are <em>first, </em>geographic information system is useful to mapping and simulation of the soil erosion, especially to calculate data that numerous and difficult, to overlay, to layout the map (or the other spasial data) and the statistic of land area, <em>second, </em>Jumapolo District has variability of the soil erosion intensity i.e. very slight 25,77 ha (0,62% of the agriculture land area), slight 815,71 ha (20,39%), moderate 1.094,69 ha (25,49%), severe 1.150,58 ha (33,09%), very severe 827,25 ha (18,88%) and catastrophic 243,69 ha (1,53%) and <em>third, </em>the change of the land unit type and the conservation technic can change the soil erosio  intensity. Simulation process result that land area which have soil erosion intensity severe, very severe and catastrophic changes become slight and moderate, therefore the new compotitions of the soil erosion intensity are very slight 25,77 ha (0,62%), slight 1.665,48 ha (40,06%), moderate 2.466,43 ha (59,32%), and each severe, very severe and catastrophic 0 ha (0%).

MARM: Mobile Augmented Reality Map Based on Wireless GIS

2013 ◽  
Vol 756-759 ◽  
pp. 2014-2018
Author(s):  
Lei Kai ◽  
Ning Rui ◽  
Wen Min Wang ◽  
Qiang Ma
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Augmented Reality ◽  
Mobile Phones ◽  
Real World ◽  
Smart Phone ◽  
Video Camera ◽  
Geographic Information ◽  
Mobile Augmented Reality ◽  
The Real

This paper presents the design and development of a Mobile Augmented Reality Map (MARM) which shows map information on the real world video rather than a plane. The proposed system uses wireless Geographic Information System (GIS), and video camera and gyroscope of a smart phone. MARM has the advantage of GIS and the convenience of mobile phones, and is an extremely intuitive way to use map.

Geographic Information System-Based Digital Catalog for Managing Subsurface Geotechnical and Geologic Data

2003 ◽  
Vol 1821 (1) ◽  
pp. 90-96
Author(s):  
Anne I. Veeger ◽  
Daniel P. Murray ◽  
O. Don Hermes ◽  
Jon C. Boothroyd ◽  
Nasir Hamidzada
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Rhode Island ◽  
Relational Database ◽  
Land Surface ◽  
Geographic Information ◽  
Transportation Systems ◽  
Borehole Data ◽  
Organic Sediment ◽  
Geologic Data

Knowledge of surface and subsurface geology and geotechnical properties is fundamental to planning, developing, and modernizing transportation systems. Through dynamic coupling of readily available areal geographic information system coverages and subsurface borehole data stored in a relational database, a spatially referenced digital catalog of borehole data was created for two pilot areas in Rhode Island. The borehole database was populated with data derived from Rhode Island Department of Transportation geotechnical reports and supplemental data from the U.S. Geological Survey groundwater site inventory system and local storm water and sewer projects. Most of these data were previously maintained in paper format, making historical or interproject data comparisons virtually impossible. Unification of these data in a single relational database yields two primary benefits: ( a) historical data are readily accessible for review and therefore can be incorporated easily into the planning stages of new projects and ( b) sophisticated analysis of the region becomes possible with access to data from multiple projects with both spatial and temporal coverage. Geologic data include bedrock geology, surface outcrops, unconsolidated materials, soil type, topographic and orthophotographic base maps, and location of boreholes and wells. Subsurface data include land surface elevation, depth to water table, depth to bedrock, presence of fill, high and low blow-count zones, and organic sediment. The digital catalog is distributed on a CD-ROM that includes ArcView project files and an Access relational database. The borehole data are also accessible through the Internet, with retrieval access for all users and data entry privileges for registered users.

APPLICATION OF ANDROID GEOGRAPHIC INFORMATION SYSTEM APPLICATION FOR DETERMINING THE TRAFFIC ALTERNATIVE PATTERN TOWARDS BUKITTINGGI CITY

2018 ◽  
Vol 3 (1) ◽  
pp. 008
Author(s):  
Melladia Melladia
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Real World ◽  
Spatial Data ◽  
Geographic Information ◽  
The Real ◽  
Road Users ◽  
Geographic Information System Application ◽  
Computer Based ◽  
Changing Times

Geographic Information System (GIS) is computer-based information that provides information through object recognition to process spatial data in the form of detail, facts, conditions related to the real world. Generally, the benefits of GIS provide information that is close to the real world and strategic planning predictions. Along with the changing times, science is also increasing in technology information side rapidly. By building this Geographic Information System, it is hoped that it can help the general public and the outside community know the alternative track to Bukittinggi City. Its goal is road users can avoid congestion and shorten the time to certain destinations.

scholarly journals DISTRIBUTION TREN OF SENIOR HIGH SCHOOL AS ORIGIN SCHOOL OF COLLEGE STUDENT STIKOM BALI BASE GIS

2020 ◽  
Vol 6 (12) ◽  
pp. 78-88
Author(s):  
Ni Nyoman Supuwiningsih
Keyword(s):  
High School ◽  
Information System ◽  
Geographic Information System ◽  
Spatial Data ◽  
Geographic Information ◽  
Prospective Students ◽  
Interactive Mapping ◽  
Average Group ◽  
The Difference ◽  
The City

GIS (Geographic Information System) is an information system that can store and integrate spatial data and non-spatial data can be used for interactive mapping of STIKOM Student School origin in Denpasar. During this time the spread of origin of high school / vocational school / equivalent STIKOM Bali students has never been mapped to find out the trend of increase or decrease in the number of origin of STIKOM Bali student schools from 2013-2018 and predict the number of students in accordance with the origin of schools in the city of Denpasar. This study aims to provide information to the management of STIKOM Bali regarding the distribution trends of the interests of prospective students to continue to tertiary level, especially STIKOM Bali. This research will collaborate between statistical science and the concept of GIS (Geographic Information System). Statistically the number of STIKOM Bali students is based on the origin of schools in Denpasar City and predicts it for the next 3 years using a trend analysis of semi-average methods (Semi Average Methods) as a material for evaluating the performance of STIKOM Bali management in improving the performance of campus promotions. This method makes trends by finding the average group of data which consists of grouping data into 2 parts, calculating average arithmetic, calculating the difference, formulating the value of change and making equations for subsequent trends. The results of these calculations are mapped with the concept of GIS (Geographic Information System) using ArcView as software to implement that integrates spatial data with non-spatial data.

scholarly journals Cobertura vegetal y la distribución de islas de calor/oasis urbanos en Hermosillo, Sonora

2021 ◽  
Vol 33 ◽  
pp. 1-31
Author(s):  
Francisco Martín López González ◽  
Luis Alan Navarro Navarro ◽  
Rolando Enrique Díaz Caravantes ◽  
Javier Navarro-Estupiñán
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Spatial Distribution ◽  
Geographic Information System ◽  
Land Surface Temperature ◽  
Land Surface ◽  
Explanatory Variable ◽  
Remote Sensing Data ◽  
Small Scale ◽  
City Block

The case of an arid Northwest city of Mexico is studied with the general objective of assessing the influence of the percentage of vegetation cover (VC) in Land Surface Temperature (LST) and mapping its spatial distribution, through a geographic information system using remote sensing data. Results showed: 1) on average, 12% (min. 0 to max. 59%) of a city block is covered with vegetation, 38% of the blocks had % VC ≤ 10; 2) the LST regression model estimated temperatures range from 37 to 45°C, the main explanatory variable was % VC, increasing % VC in 10 is associated with cooling effect of 1.1 °C. The spatial heterogeneity in the distribution of LST can be interpreted as the human effect modifying the climate on a small scale; this creates internal diurnal oasis.

scholarly journals Models for Predicting Bulinids Species Habitats in Southwestern Nigeria Using Geographic Information System

2020 ◽  
Author(s):  
Opeyemi G. Oso ◽  
Alex Odaibo
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Land Surface ◽  
Environmental Variables ◽  
Regression Models ◽  
Geographic Information ◽  
Snail Species ◽  
Base Line ◽  
Southwestern Nigeria ◽  
Predictive Risk

Abstract Background: Schistosomiasis prevalence is high in southwestern Nigeria and planorbids of the genus Bulinus had been implicated in the transmission of the disease in the area. The knowledge of species distribution in relation to environmental variables will be auspicious in planning control strategies. Methods: Satellite imagery and geographic information system (GIS) were used to develop models for predicting the habitats suitable for bulinid species. Monthly snail sample collection was done in twenty-three randomly selected water contact sites using standard method for a period of two years. Remotely sensed variables such as Land Surface Temperature (LST), Normalized Difference Vegetation Index (NDVI) were extracted from Landsat TM, ETM+; Slope and Elevation were obtained from digital elevation model (DEM) while Rainfall was retrieved from European Meteorology Research Program. These environmental factors and snail species were integrated into GIS to predict the potential habitats of different bulinid species using exploratory regression models. Results: The following environmental variables: flat-moderate slope (0.01-15.83), LST (21.1oC-23.4oC), NDVI (0.19-0.52), spatial rainfall (> 1,569.34 mm) and elevation (1-278 meters) all contributed to the model used in predicting habitat suitable for bulinids snail intermediate hosts. Exploratory regression models showed that LST, NDVI and slope were predictors of B. globosus and B. jousseaumei; elevation, LST, Rainfall and slope were predictors of B. camerunensis; spatial rainfall, NDVI and slope were predictors of B. senegalensis while NDVI and slope were predictors of B. forskalii in the area. Bulinids in the forskalii group showed clustering in middle belt and south. The predictive risk map of B. jousseaumei was similar to the pattern described for B. globosus, but with a high R-square value of 81%. Conclusion: The predictive risk models of bulinid species in this study provided a robust output for the study area which could be used as base-line for other areas in that ecological zone. It will be useful in appropriate allocation of scares resources in the control of schistosomiasis in that environment.

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