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Features of urban planning information system for lands accounting of oil production territories of Iraq
Published in Evgeny Rybnov, Pavel Akimov, Merab Khalvashi, Eghiazar Vardanyan, Contemporary Problems of Architecture and Construction, 2021
Е.V. Sherbena, M.A. Slepnev, A.D. Al-Qatrany
Various technologies are used for the implementation, such as big data processing systems, which will require many technologies, such as integration with GIS, data processing time, hardware usage, and combination with modeling and simulation (Belal & Shcherbina 2019). In the model presented, each type of territory has a unique code (B1 - B10); each district in Basra province has its own unique identification (O1-O7), as well as in the governorate sub-districts (P1-P15). According to the administrative structure of Basra province, the attributes are shown in Table 1. For example (industrial area, residential zoning and others), attributes such as form, subject type, code, name, area, and location are shown. Degree of land disturbance could be in the description field: C1 → very high; C2 → high; C3 → medium; C4 → weak. Point, line polygon or area feature have been inserted in the type of feature field. The attribute structure is shown in Table 1.
Risk from Groundwater Arsenic Exposure
Published in M. Manzurul Hassan, Arsenic in Groundwater, 2018
Arsenic risk zones were mainly identified in a vector-base data analysis process by using GIS methods. A GIS was used as a platform enabling the management of the “criterion data” (Store and Kangas, 2001) for the spatial risk zoning. GIS technology has been applied to a wide range of environmental risks. A point-in-polygon operation can be performed in this regard. In a developed cartographic model, the data layer for arsenic risk zones was created by combining arsenic magnitudes with the threshold distances of tubewells. In addition, reclassification operations allow the transformation of attribute information, which represents the “recoloring” (Martin, 1991) of risk features in the map. A map of spatial arsenic concentrations within the buffer zones can be analyzed into different categories without reference to any other information.
Modeling Location
Published in Krzysztof W. Kolodziej, Johan Hjelm, Local Positioning Systems, 2017
Krzysztof W. Kolodziej, Johan Hjelm
A geometric property element has the attribute typeName and contains a geometry element that belongs to the entity GeometryClasses. The geometry elements belonging to this entity are: PointLineStringPolygonMultipointMultiLineStringMultiPolygonGeometryCollection
Modelling and simulating head-on conflict-solving behaviour of motorcycles under heterogeneous traffic condition in developing countries
Published in Transportmetrica A: Transport Science, 2021
Linh Thanh Trinh, Kazushi Sano, Kiichiro Hatoyama
In data extraction, 200 left-turning motorcycles were tracked at two typical intersections in Ho Chi Minh City, Vietnam. Video sequences were taken under a low traffic flow and without a conflict. Under such conditions, the effects of other factors will be minimized. Five divergent curves, two circulars, two parabolas, and a Bezier curves, were applied to estimate a single trajectory as shown in Figure 6. For the first circle, Circle 1 (C1), and the first parabola, Parabola 1 (P1), the first derivation equals zero at the endpoint of the path, f’x(xdestination, ydestination) = 0. For the second circle, Circle 2 (C2), and the second parabola, Parabola 2 (P2), the first derivation equals zero at the first change in direction of the path, f’y(xcurrent, ycurrent) = 0. For the fifth curve, third-order Bezier curve (B), which has three degrees of freedom, is adapted from the former study (Rogers 2000). B is constructed from a four-point control polygon. As given in Table 3, based on the distributed location of four control points, a hundred Bezier curves are produced for each calculating trajectory to find the best-matched one. The deviation, which is the distance between the predicted point and the actual point of the estimated path, is employed to validate curve fitting result. A summary of the deviation for the four groups, with 50 left-turning trajectories in each group, is presented in Table 4.
Implementation of serverless cloud GIS platform for land valuation
Published in International Journal of Digital Earth, 2021
Muhammed Oguzhan Mete, Tahsin Yomralioglu
Growth in the geospatial domain is proportional to the increase in the number of users and geospatial data volume (Geospatial Media and Communication 2018). Providing better GIS services requires more efficient and innovative approaches. Serverless computing which is regarded as the new generation cloud architecture has started to take place in GIS applications. In order to compare the traditional Cloud GIS and Serverless GIS models, AWS RDS PostgreSQL (11.5) and AWS Aurora Serverless PostgreSQL (10.7) databases were implemented on the cloud for geospatial data storage and processing (Table 1). To compare the performance of the two database system architectures, a simple point in polygon analysis is generated within PostGIS. Point in the polygon algorithm can be used for many location-based applications. For example, a real estate agent can use this analysis in order to know how many properties they have in their area of responsibility for efficient asset management.
Stochastic coordinate-exchange optimal designs with complex constraints
Published in Quality Engineering, 2019
Here we only intend to borrow the non-analytically defined constrained 2-dimensional glacier area in Figure 9 of Pratola et al. (2017). The boundary is defined by m = 247 points rather than a series of inequalities. Recall in the construction of the initial design explained Section Construct initial design, we need to check the feasibility of the randomly sampled points. If the constraints are defined by equalities/inequalities, this task is easy, but it is not the case for this example. Instead, we can treat this problem as a classic “point-in-polygon” problem by considering the boundary as a polygon defined by the m – 1 very short segments. We implement the winding number algorithm to check the feasibility of any randomly sampled points (Hormann and Agathos, 2001). To calculate the projection of the constrained area, we also treat the boundary as a polygon. Figure 8 shows a n = 14 maximin design returned by the SCE algorithm. It is not meaningful to compare the SCE design with the ones from Pratola et al. (2017) because our design is based on 2-dimensional Euclidean distance but the latter is not. We only want to point out that the SCE algorithm does not use any candidate points and it is very flexible to handle such non-analytical boundary.