Fast Polygon Area and Newell Normal Computation

2005 ◽  
pp. 83-87
Author(s):  
Daniel Sunday
Keyword(s):  
Polygon Area

A Research of Matching Algorithm and Strategy on Entity with Complex Area

2012 ◽  
Vol 209-211 ◽  
pp. 252-255
Author(s):  
Li Guo ◽  
Hai Ying Zheng ◽  
Yong Hong Wang ◽  
Bin Zhang
Keyword(s):  
Spatial Data ◽  
Large Scale ◽  
Data Matching ◽  
Large Scale Data ◽  
Polygon Area ◽  
Spatial Data Integration ◽  
One And Many ◽  
Complex Polygon ◽  
Scale Data ◽  
Matching Relation

Data matching technology is a key technology for spatial data integration and fusion. This paper represents a solution to the complex polygon area, defines the area overlapped rate in the aspect of geometric measure, presents the data matching idea based on area overlapped rate .Then, this paper discusses and realizes the data matching relation of area elements including one to one , many to one and many to many. At last, region targets are set as the study object, large scale data are taken for example. We draw the conclusion: this algorithm is efficient.

scholarly journals Participatory Land Administration in Indonesia: Quality and Usability Assessment

Land ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 79 ◽  
Author(s):  
Trias Aditya ◽  
Eva Maria-Unger ◽  
Christelle vd Berg ◽  
Rohan Bennett ◽  
Paul Saers ◽  
...  
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Rural Areas ◽  
Effective Means ◽  
Land Registration ◽  
Usability Assessment ◽  
Polygon Area ◽  
Usability Analysis ◽  
Awareness Programs ◽  
Seamless Connection

This paper presents the results from a quality and usability analysis of participatory land registration (PaLaR) in Indonesia’s rural areas, focusing on data quality, cost, and time. PaLaR was designed as a systematic community-centered land titling project collecting requisite spatial and legal data. PaLaR was piloted in two communities situated in Tanggamus and Grobogan districts in Indonesia. The research compared spatial data accuracy between two approaches, PaLaR and the normal systematic land registration approach (PTSL) with respect to point accuracy and polygon area. Supplementary observations and interviews were undertaken in order to evaluate the effectiveness of the spatial and legal data collection, as well as logical consistency of the data collected by the community committee, using a mobile application. Although the two pilots showed a lower spatial accuracy than the normal method (PTSL), PaLaR better suited local circumstances and still delivered complete spatial and legal data in a more effective means. The accuracy and efficiency of spatial data collection could be improved through the use of more accurate GNSS antennas and a seamless connection to the national land databases. The PaLaR method is dependent on, amongst other aspects, inclusive and flexible community awareness programs, as well as the committed participation of the community and local offices.

scholarly journals Spatial pattern of ASG-EUPOS sites

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Beata Calka ◽  
Elzbieta Bielecka ◽  
Mariusz Figurski
Keyword(s):  
Spatial Pattern ◽  
Pattern Analysis ◽  
Transportation Network ◽  
Distribution Model ◽  
Spatial Pattern Analysis ◽  
Nearest Neighbour ◽  
Polygon Area ◽  
Thiessen Polygon ◽  
Thiessen Polygons ◽  
The Mean

AbstractThe article presents the spatial pattern analysis of the ASG-EUPOS permanent GNSS stations in Poland. Using different methods and tools (nearest neighbour, Riplay’s K-function, morphology of Thiessen polygons) we proved that the station distribution model changes within scales. At short distances up to 65 km, which are typical lengths in the network, stations are irregularly dispersed. Increasing this distance to 130 km and over could result in a clustered pattern.The Thiessen polygon area in 72% depends on the level of urbanization, especially coverage of forested and built-up areas as well as the density of the transportation network. The smallest density of the ASG-EUPOS sites is one station over 10,000 sq. km, which is two times more than is stated in the national regulations. The mean distance from ASG-EUPOS location to the nearest station is about 41.5 km.

scholarly journals Cardiac Radiographic Measurements in Ferrets Using the OsiriX MD Programme

2022 ◽  
Vol 8 ◽  
Author(s):  
Alejandro Gutiérrez ◽  
Luis J. Ezquerra ◽  
Pedro L. Rodríguez ◽  
Joaquín Jiménez
Keyword(s):  
Sexual Dimorphism ◽  
Prospective Study ◽  
Normal Heart ◽  
Mustela Putorius ◽  
Sex Effect ◽  
Radiographic Measurements ◽  
Polygon Area ◽  
Cardiac Dimension ◽  
Heart Size ◽  
Males And Females

Objectives: To adapt the vertebral heart scale (VHS) for use in ferrets and identify new scales and tools that allow to establish the normal heart size by means of radiography more quickly and effectively.Methods: Forty healthy pet ferrets (Mustela putorius furo) were used in this prospective study. The measurements were made on right lateral, left lateral, ventrodorsal, and dorsoventral projections, using OsiriX MD medical imaging software, to evaluate sex effect and variance within the different heart scales. Cardiac measurements were also correlated to VHS and the cardiac dimension in the same projection.Results: Most of the cardiac measurements were significantly different between males and females. The results for the VHS were: right lateral VHS (RL-VHS): 5.52 ± 0.28 v (vertebrae units); left lateral (LL-VHS): 5.55 ± 0.28 v; and dorsoventral VHS (DV-VHS): 6.22 ± 0.34 v for males and RL-VHS: 5.24 ± 0.2 v; LL-VHS: 5.25 ± 0.20 v; and DV-VHS: 5.97 ± 0.35 v for females. Regarding the sternebral heart scale (SHS), the values were: RL-SHS: 5.10 ± 0.20 s (sternebrae units) and LL-SHS: 5.11 ± 0.20 s for males and RL-SHS: 4.67 ± 0.24 s and LL-SHS: 4.67 ± 0.28 s for females. The new measurements based on determining the cardiac area were also marked by clear sexual dimorphism, as shown for the cardiac area-axis (AREA-AXIS): RL-AREA-AXIS: 3.82 ± 0.45 cm2; LL-AREA-AXIS: 3.87 ± 0.41 cm2; ventrodorsal (VD)-AREA-AXIS: 4.59 ± 0.64 cm2; and DV-AREA-AXIS: 4.80 ± 0.50 cm2 for males and RL-AREA-AXIS: 2.39 ± 0.23 cm2; LL-AREA-AXIS: 2.41 ± 0.26 cm2; VD-AREA-AXIS: 3.08 ± 0.45 cm2; and DV-AREA-AXIS: 3.06 ± 0.47 cm2 for females. The cardiac area open polygon (AREA-POL) values were: RL-AREA-POL: 6.78 ± 0.65 cm2; LL-AREA-POL: 6.88 ± 0.68 cm2; VD-AREA-POL: 7.20 ± 0.91 cm2; and DV-AREA-POL: 7.57 ± 0.88 cm2 for males and RL-AREA-POL: 4.28 ± 0.30 cm2; LL-AREA-POL: 4.35 ± 0.35 cm2; VD-AREA-POL: 4.72 ± 0.65 cm2; and DV-AREA-POL: 4.79 ± 0.66 cm2 for females, with similar differences noted from various radiographic projections. A good correlation was noted between VHS and SHS, and a very strongly positive correlation existed between cardiac area measurements and cardiac dimensions.Conclusion: The VHS adapted to ferrets, the SHS, as well as the cardiac area measurements presented in our study are ideal tools for the assessment of cardiac size in ferrets.

scholarly journals Hidden surface removal using polygon area sorting

1977 ◽  
Vol 11 (2) ◽  
pp. 214-222 ◽  
Author(s):  
Kevin Weiler ◽  
Peter Atherton
Keyword(s):  
Polygon Area ◽  
Hidden Surface Removal ◽  
Surface Removal

A note on multi-polygon area filling

1987 ◽  
Vol 11 (4) ◽  
pp. 445-447
Author(s):  
John R. Rankin
Keyword(s):  
Polygon Area ◽  
Area Filling
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