Creation and Application of Highway Network Spatial Database

2013 ◽  
Vol 361-363 ◽  
pp. 2236-2239
Author(s):  
Bi He
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Spatial Database ◽  
Information Service ◽  
The Other ◽  
Traffic Information ◽  
Foundation Design ◽  
Management Level ◽  
Property Data ◽  
Highway Network

Highway network is the most important transportation facility, informatization is the effictive method to improve the management level of highway network. With GIS, highway network spatial database was built, the process include set the spatial mathmetics foundation, design the structure of database, process the spatial data, build the topological relation and process the property data. And two example of the highway network spatial database application was provided, one is spatial analysis, and the other is traffic information service on internet.

Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland

2014 ◽  
Vol 38 (3) ◽  
pp. 354-377 ◽  
Author(s):  
Thierry Feuillet ◽  
Julien Coquin ◽  
Denis Mercier ◽  
Etienne Cossart ◽  
Armelle Decaulne ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Spatial Analysis ◽  
Spatial Data ◽  
Fixed Effects ◽  
Regional Scale ◽  
Mass Movement ◽  
Predisposing Factors ◽  
The Other ◽  
Data Set ◽  
Landslide Occurrence

Most studies focusing on landslide spatial analysis have considered the relationships between predictors and landslide occurrence as fixed effects. Yet spatially varying relationships, i.e. non-stationarity, often occur in any spatial data set and should be theoretically considered in statistical models for a better fit. In Skagafjörður, a landslide-rich north–south oriented area located in northern Iceland, we investigated whether spatial non-stationarity in the relationships between paraglacial variables (glacio-isostatic rebound and post-glacial debuttressing, both captured in this area by latitude) and landslide locations is detectable. To explore the non-stationarity of factors that predispose landslide occurrence, we performed two logistic regression models, one global (GLR) and the other enabling the regression parameters to vary locally (geographically weighted logistic regression, GWLR). Each model was computed with two types of outcome, one based on the entire masses of landslides and the other only on the scarps of landslides. GLR results reveal that increasing latitude is associated with increasing probability of landslide occurrence, confirming that post-glacial rebound is of prime importance at the regional scale. Nevertheless, GWLR indicates that this relationship is absent or reversed at some locations, meaning that the influence of paraglacial and other predisposing factors of landsliding (slope, valley depth and curvature) vary at the local scale. This result sheds light on the spatial clustering of three subzones where landsliding drivers are homogeneous. We conclude that a GWR-based approach provides some significant inputs for spatial analysis of mass movement processes, by identifying multi-scale process control zones and by highlighting local drivers, indecipherable in global models.

scholarly journals E-CAD: WEB-BASED INFORMATION SERVICE FOR LAND MANAGEMENT

2019 ◽  
Vol XLII-5/W3 ◽  
pp. 65-69
Author(s):  
M. Neupane ◽  
R. Jaiswal ◽  
R. Khati ◽  
S. Dhakal ◽  
S. Sharma
Keyword(s):  
Information System ◽  
Land Management ◽  
Spatial Data ◽  
Land Reform ◽  
Spatial Database ◽  
Information Service ◽  
Web Based ◽  
Web Mapping ◽  
Thin Client ◽  
The Creation

Abstract. The status quo of the land management and information system in Nepal is a far cry from where the developed world stands. Paper-based system is still the spine of this system which is tedious, less accurate and difficult to store and update. So, there is a need for a digitized system providing country’s land authorities with a powerful tool that creates a unified platform for the creation of an accurate spatial database, timely maintenance and updating of the database in a dynamic web platform. The database including spatial data of land features can be utilized to create a web-based thin-client mapping application which meets the needs of all the stakeholders (government authorities from Survey Offices, Land Revenue Offices, Land Reform Offices, etc.). This paper shows the use of open-source software for the creation of a web mapping system including QGIS, PostGIS extension of PostgreSQL for spatial database, HTML for markup, CSS for styling, JavaScript, Leaflet, Open-Layers for client-side scripting and Geo-Django for backend designing. The developed methodology can be utilised for the preparation of an interactive thin-client web mapping server that enables general users to dynamically view data, zoom, pan and search from the database and obtain land information. The login system enables administrators with various access to upload, verify and edit data along with performing various spatial operations while the super admin is entitled to access to the PostgreSQL database. The major finding is that the use of a thin client application for a land information system is beneficial for all stakeholders. It is also a measure of the performance of land authorities allowing better planning, preparedness, and allocation of resources.

scholarly journals Improving management of spatial data through spatial database

2020 ◽  
Author(s):  
Nikola Kranjčić ◽  
Bojan Đurin ◽  
Dragana Dogančić ◽  
Lucija Plantak
Keyword(s):  
Spatial Data ◽  
Spatial Database

scholarly journals Change detection and building spatial geodatabase for Iraqi marshes

2018 ◽  
Vol 162 ◽  
pp. 03021
Author(s):  
Oday Jasim ◽  
Noor Hamed ◽  
Tamarra Abdulgabar
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Satellite Images ◽  
The Other ◽  
Image Mosaic ◽  
Economic Potential ◽  
Second Stage ◽  
Area Of Interest ◽  
Natural Factors ◽  
Three Stages

The Iraqi Marshlands has natural and economic potential through its environment rich in various forms of lives. This region has suffered numerous setbacks due to human and natural factors, especially in the last two decades of the last century, which led to significant environmental degradation. The purpose of this paper is to prepare spatial data for the area of the marshes in Iraq as a base (Hour-al Hoveizah and central marshes and Hammar). Also, the other aim is to produce a digital geodatabase for the marshes for the years 1973, 1986, 1999, 2006 and 2016 by using ArcGIS. The process of building geodatabase has been through done in three stages: the first stage is including data collection. The second stage will be by merging the satellite images covering the Iraqi marshes and add to images in order to get the image mosaic process. Also, a georeferencing of satellite images is to be done with all the traditional maps of the same area of the marsh. Finally, complete the full geodatabase for the area of interest by using ArcGIS as the in Cartography Design. The results of this research would be a geodatabase for the Iraqi marshes.

scholarly journals A Spatial Analysis Approach to Understanding Caddoan Mounds in the Arkansas River Drainage

2004 ◽  
Author(s):  
Gregory Vogel
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Large Scale ◽  
Theoretical Background ◽  
Gis Analysis ◽  
Arkansas River ◽  
Gis Modeling ◽  
River Drainage ◽  
The People ◽  
Computationally Intensive

In this article I present a theoretical framework for understanding Caddoan mounds in the central Arkansas River drainage and the implications they may hold for the social structure and environmental adaptations of the people who made them. The power and efficiency of Geographic Information Systems (GIS) modeling now allows for large-scale, computationally intensive spatial analysis simply not possible before. Questions of landscape organization or spatial relationships that previously would have taken months or even years to answer can now be solved in a matter of minutes with GIS and related technologies, given the appropriate datasets. Quite importantly, though, such analyses must first be placed in context and theory if they are to be meaningful additions to our understanding of the past. While it is conventional to refer to “GIS analysis” (and I use the term in this article), it is important to keep in mind that data manipulations alone are not analysis. GIS, along with statistical software and related computer technologies, are tools of spatial analysis just as shovels and trowels are tools of excavation. Such tools can organize and reveal information if they are employed carefully, but the tools themselves have no agency and cannot interpret anything on their own. The terms “GIS analysis” or “GIS interpretation” are therefore somewhat misnomers, just as “trowel analysis” or “trowel interpretation” would be. It is not the GIS, or any component of it, that does the analysis or interpretation; it simply manipulates spatial data. We interpret these manipulations based upon theoretical background, previous research, and the questions we wish to answer.

scholarly journals Przyszłość systemów rejestracji nieruchomości wobec rozwoju inteligentnych technologii. Wybrane problemy prawne na tle wniosków z konferencji „Common Vision Conference 2016. Migration to a Smart World”, Amsterdam, 5–7 czerwca 2016 roku

2017 ◽  
Vol 15 (2) ◽  
pp. 301-320
Author(s):  
Maria Kaczorowska
Keyword(s):  
Spatial Data ◽  
Data Exchange ◽  
Spatial Information ◽  
Smart Cities ◽  
Information Service ◽  
Advanced Technology ◽  
Technological Advancement ◽  
Land Registration ◽  
The Impact ◽  
Common Vision

The development of information technologies offers new possibilities of use of information collected in public registers, such as land registers and cadastres, which play a significant role in establishing the infrastructure for spatial information. Efficient use of spatial information systems with the purpose of a sustainable land management shall be based on en suring the interconnection of different information resources, data exchange, as well as a broad access to data. The role of land registration systems in the context of technological advancement was the subject of the Common Vision Conference 2016. Migration to a Smart World, held on 5–7 June 2016 in Amsterdam. The conference was organized by Europe’s five leading mapping, cadastre and land registry associations, cooperating within a “Common Vision” agreement: EuroGeographics, Permanent Committee on Cadastre, European Land Registries Association, European Land Information Service and Council of European Geodetic Surveyors. The discussion during the conference focused on topics regarding the idea of smart cities, marine cadastre, interoperability of spatial data, as well as the impact of land registers and cadastres on creating the infrastructure for spatial information and developing e-government, at both national and European levels. The paper aims to present an overview of issues covered by the conference and also to highlight some important problems arising from implementing advanced technology solutions in the field of land registration.

scholarly journals Integrating cellular automata and discrete global grid systems: a case study into wildfire modelling

2020 ◽  
Vol 1 ◽  
pp. 1-23
Author(s):  
Majid Hojati ◽  
Colin Robertson
Keyword(s):  
Big Data ◽  
Spatial Analysis ◽  
Cellular Automata ◽  
Spatial Data ◽  
Data Model ◽  
Data Access ◽  
Environmental Modeling ◽  
Modeling Framework ◽  
Global Grid

Abstract. With new forms of digital spatial data driving new applications for monitoring and understanding environmental change, there are growing demands on traditional GIS tools for spatial data storage, management and processing. Discrete Global Grid System (DGGS) are methods to tessellate globe into multiresolution grids, which represent a global spatial fabric capable of storing heterogeneous spatial data, and improved performance in data access, retrieval, and analysis. While DGGS-based GIS may hold potential for next-generation big data GIS platforms, few of studies have tried to implement them as a framework for operational spatial analysis. Cellular Automata (CA) is a classic dynamic modeling framework which has been used with traditional raster data model for various environmental modeling such as wildfire modeling, urban expansion modeling and so on. The main objectives of this paper are to (i) investigate the possibility of using DGGS for running dynamic spatial analysis, (ii) evaluate CA as a generic data model for dynamic phenomena modeling within a DGGS data model and (iii) evaluate an in-database approach for CA modelling. To do so, a case study into wildfire spread modelling is developed. Results demonstrate that using a DGGS data model not only provides the ability to integrate different data sources, but also provides a framework to do spatial analysis without using geometry-based analysis. This results in a simplified architecture and common spatial fabric to support development of a wide array of spatial algorithms. While considerable work remains to be done, CA modelling within a DGGS-based GIS is a robust and flexible modelling framework for big-data GIS analysis in an environmental monitoring context.

scholarly journals Spatial Data Analysis in epidemiology of sensorineural hearing loss

2020 ◽  
Vol 19 (4) ◽  
pp. 13-20
Author(s):  
A. A. Korneenkov ◽  
◽  
S. V. Ryazantsev ◽  
I. V. Fanta ◽  
E. E. Vyazemskaya ◽  
...  
Keyword(s):  
Hearing Loss ◽  
Information Systems ◽  
Spatial Analysis ◽  
Sensorineural Hearing Loss ◽  
Spatial Data ◽  
Sensorineural Hearing ◽  
Spatial Data Analysis ◽  
Point Pattern ◽  
Spatial Process ◽  
One Year

The identification of risk factors, features and patterns of the emergence and spread of diseases in space requires a large array of diverse data and the use of a serious mathematical and statistical apparatus. The distribution of diseases in space is studied using spatial analysis tools, which are now widely used as information systems are introduced and data are accumulated that are relevant to public health. For most tasks of working with spatial data (data, events that have geographical, spatial coordinates), various geographic information systems are used. As a disease for spatial analysis, sensorineural hearing loss was chosen, with which patients were treated at the Saint-Petersburg Research of Ear, Throat, Nose and Speech during one year of the study. The main tasks of the spatial analysis of data on the incidence of sensorineural hearing loss (SNHL) for hospitalization were: visualization of a point pattern, which can form the geographical coordinates of the places of residence of inpatients with SNHL; assessment of the properties of the spatial process that generates this point image (assessment of the intensity of the process, its laws) using various statistical indicators; testing the hypothesis about the spatial randomness of this process and the influence of individual factors on it. R-code accompanied all calculations in the article. Calculations can be reproduced quite easily. The text of the article can be used as step-by-step instructions for their implementation.

scholarly journals PEMETAAN LOKASI KELUARGA PENERIMA MANFAAT PKH DI KECAMATAN PRAYA TENGAH MENGUNAKAN EXTENTION GEOPROCESSING

2018 ◽  
Vol 1 (2) ◽  
pp. 33
Author(s):  
Sofiansyah Fadli ◽  
Fitri Rohyatul Aini
Keyword(s):  
Information System ◽  
Spatial Data ◽  
Geographic Information ◽  
The Other ◽  
Government Programs ◽  
Government Program ◽  
Family Expectations ◽  
The Government ◽  
System Mapping ◽  
The Town

Based on data from UPPKH sub-district of Central Praya Year in 2017. The number of beneficiaries from the Government Program namely the Program Family expectations (PKH) and Beneficiary Families (KPM) is 3,425 which are spread throughout the villages in the Central Praya. The existence of the problems and constraints that have emerged is the difficulty the other escorts who are outside of the town would like to know the location and development of recipient PKH KPM. Extention Geoprocessing is a tool for processing spatial data in ArcView. The use of extension geoprocessing on the geographic information syste is one tool that can be used to assist in analyzing the condition and whereabouts of beneficiaries of government programs, especially the PKH KPM Program, especially in the Central Praya sub-district.The method used in analyzing data is the model SPIRAL method, the programming language used is PHP / MapScript, and criteria used are sourced from BPS. With the building of a geographic information system mapping the PKH KPM location, the community and the government will find it easier to know the development of poverty and can facilitate outside sub-district facilitators to find the location of PKH KPM in the central Praya sub-district.

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