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2022 ◽  
Vol 134 ◽  
pp. 104081
Author(s):  
Feng Jiang ◽  
Ling Ma ◽  
Tim Broyd ◽  
Weiya Chen ◽  
Hanbin Luo
Keyword(s):  

Tectonics ◽  
2022 ◽  
Author(s):  
Michael G. Frothingham ◽  
Kevin H. Mahan ◽  
Vera. Schulte‐Pelkum ◽  
Jonathan Saul. Caine ◽  
Frederick W. Vollmer

2022 ◽  
Vol 12 (2) ◽  
pp. 576
Author(s):  
Joseph Kim ◽  
Ella Atkins

Airspace geofencing is a key capability for low-altitude Unmanned Aircraft System (UAS) Traffic Management (UTM). Geofenced airspace volumes can be allocated to safely contain compatible UAS flight operations within a fly-zone (keep-in geofence) and ensure the avoidance of no-fly zones (keep-out geofences). This paper presents the application of three-dimensional flight volumization algorithms to support airspace geofence management for UTM. Layered polygon geofence volumes enclose user-input waypoint-based 3-D flight trajectories, and a family of flight trajectory solutions designed to avoid keep-out geofence volumes is proposed using computational geometry. Geofencing and path planning solutions are analyzed in an accurately mapped urban environment. Urban map data processing algorithms are presented. Monte Carlo simulations statistically validate our algorithms, and runtime statistics are tabulated. Benchmark evaluation results in a Manhattan, New York City low-altitude environment compare our geofenced dynamic path planning solutions against a fixed airway corridor design. A case study with UAS route deconfliction is presented, illustrating how the proposed geofencing pipeline supports multi-vehicle deconfliction. This paper contributes to the nascent theory and the practice of dynamic airspace geofencing in support of UTM.


2022 ◽  
Vol 28 (1) ◽  
pp. S58-S65
Author(s):  
Susan E. Manning ◽  
Antonia M. Blinn ◽  
Sabrina C. Selk ◽  
Christine F. Silva ◽  
Katie Stetler ◽  
...  

2021 ◽  
Vol 13 (2) ◽  
pp. 113-126
Author(s):  
Hubullah Fuadzy ◽  
Heni Prasetyowati ◽  
Elis Siti Marliyanih ◽  
Asep Hendra ◽  
Abdulah Mubarok Dadang

Abstract. Tasikmalaya city is a high endemic dengue area which contributes to the high number ofdengue cases in West Java province. This study aims to analyze the geographic distribution patternof dengue infection at the village level and identify high-risk urban villages in Tasikmalaya City. Thisstudy analyzed the surveillance data of dengue cases in 2016–2020 which was routinely managed bythe Tasikmalaya City Health Office. Variables analyzed included date, patient’s name and address(villages). The map data in the form of a shape file (shp.) were obtained from BPS in 2019. The spatialautocorrelation analysis uses two approaches, (the global Moran Index and LISA). The results showedthat DHF cases in the Tasikmalaya city tend to increase in the last 5 years (2016–2020). The highestnumber of annual and monthly dengue cases occurred in 2020, (1,744 cases and 307 cases) withthe incidence rate peaked at 262.6561 per 100,000 population. The global Moran index test using asignificance level of 5 showed that there is a spatial autocorrelation between adjacent sub-districts ofdengue cases in Tasikmalaya city every year for the last 5 years (2016–2020, and cumulative). Thevalue of the global moran index (I) shows a positive correlation between urban villages to the numberof annual dengue cases for the last 5 years and is cumulative. It can be concluded that there aresimilarities in the characteristics of DHF cases in adjacent villages or the relationship between DHFcases tends to be spatially clustered.


2021 ◽  
Vol 94, 2021 (94) ◽  
pp. 44-53
Author(s):  
Taras Ievsiukov ◽  
◽  
Borys Chetverikov ◽  
Іvan Kovalchuk ◽  
Іvan Openko ◽  
...  

Elaboration of the method of creating a web-GIS of Polish burials at the Baikove Cemetery in Kyiv. Achieving this goal involves the following tasks: to develop the structure of the geographic information system, its framework and to fill the file database. For realization of the set tasks the technological scheme consisting of 12 stages of work is offered. The first stage involved the collection of cartographic and descriptive data on the territory of the object of study, as well as the search for possible registers of Polish burials within the object under study. In the second stage, field surveys were performed to determine the coordinates of each grave of the Polish burials at the Baikove Cemetery using a GIS tablet with an RTK antenna LT700H (accuracy up to 0.30 m). The total number of coordinated points was 565, which were concentrated in 7 sections of the cemetery. The third stage included the coordination of reference points and the binding of this support in the GIS MapInfo environment of the fragment of the topographic plan of Kyiv on a scale of 1: 2000 to the territory of the Baikove Cemetery. There were a total of 11 landmarks. The maximum binding error is 0.2 m. In the fourth stage, all point objects were displayed according to their coordinates on the basis of the map and the corresponding symbols were selected. The next step was to develop and populate a relational database for point objects. The database contained the following columns: grave number, name and surname of the buried person, grave coordinates and hyperlinks to burial information in the file database. Next, all map layers were exported to html format, and the point object layer was exported to kml format using a universal translator, which allowed to view burial data in GoogleEarth. At the eighth stage of the technological scheme the structure of layouts of each html-page of the created online GIS was developed. All map data had hyperlinks to the selected AOI objects. In the case of the Baikove Cemetery scheme, plots with Polish burials were marked. Clicking on them opened a topographic plan with marked point objects of burials. In turn, when you click on them, information about the burial appeared from the file database. At the tenth stage, 5 sheets of topographic plans with burials were generated. One sheet of scale 1: 2000 and four sheets of scale 1: 500, for better "spreading" and initialization of burials. The eleventh stage is devoted to the creation and filling of a file database on Polish burials. This database contained the following structure: photo of the burial, coordinates, surname and name, years of life, additional photographs (if available), sex of the buried person, interpreted inscription on the tombstone, as well as, if possible, detailed information and belonging of the buried person to a certain profession, its outstanding achievements and accomplishments. At the last stage, the hyperlinks of the transition between the pages were configured and the system was tested. The scientific novelty lies in the development of the concept of joint use of various applications of geoinformation and non-geoinformation purposes. The technological scheme of creation of WEB-GIS of Polish burials of the Baikove Cemetery in Kyiv is offered. Implemented geographic information system is designed for inventory of burials, analysis of the condition of tombstones and their spatial location in the cemetery. In addition, the created GIS can be used for tourism purposes and in the study of historical figures of Polish origin.


2021 ◽  
Author(s):  
J.E. Andrew

Digital map data files in ArcGIS shapefile format for data collection points, geologic contacts, and geologic unit polygons.


2021 ◽  
Author(s):  
J.E. Andrew

Digital map data files in ArcGIS shapefile format for data collection points, geologic contacts, and geologic unit polygons.


2021 ◽  
Author(s):  
J.E. Andrew

<div>Digital map data files in ArcGIS shapefile format for data collection points, geologic contacts, and geologic unit polygons.<br></div>


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