Activity knowledge discovery: Detecting collective and individual activities with digital footprints and open source geographic data

2021 ◽  
Vol 85 ◽  
pp. 101551
Author(s):  
Xinyi Liu ◽  
Qunying Huang ◽  
Song Gao ◽  
Jizhe Xia
Keyword(s):  
Knowledge Discovery ◽  
Open Source ◽  
Geographic Data ◽  
Digital Footprints

scholarly journals MEGASITE MANAGEMENT TOOL (MMT): A DECISION SUPPORT SYSTEM BUILT USING MAPWINDOW ACTIVEX CONTROL

2017 ◽  
Vol IV-4/W4 ◽  
pp. 319-323 ◽  
Author(s):  
B. R. Pulsani
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Open Source ◽  
Support System ◽  
Input Data ◽  
Decision Makers ◽  
Management Tool ◽  
Contaminated Sites ◽  
Attribute Information ◽  
Geographic Data

Megasite Management Tool (MMT) is planning and evaluation software for contaminated sites. Using different statistical modules, MMT produces maps which help decision makers in rehabilitating contaminated sites. The input data used by MMT is of geographic nature and exists as shapefile and raster format. As MMT is built using simple windows forms application, the objective of the study was to find a way to visualize geographic data and to allow the user to edit its attribute information. Therefore, the application requirement was to find GIS libraries which offer capabilities such as (1) map viewer with navigation tools (2) library to read/write geographic data and (3) software which allows free distribution of the developed components. A research on these requirements led to the discovery of MapWindow ActiveX components which not only offered these capabilities but also provided free and open source licensing options for redistribution. Although considerable amount of reports and publications exist on MMT, the major contribution provided by MapWindow libraries have been under played. The current study emphasises upon the contribution and advantages MapWindow ActiveX provides for incorporating GIS functionality to an already existing application. Similar components for other languages have also been reviewed.

scholarly journals GDIS, a global dataset of geocoded disaster locations

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Elisabeth L. Rosvold ◽  
Halvard Buhaug
Keyword(s):  
Open Source ◽  
Natural Hazards ◽  
Spatial Information ◽  
Data Sources ◽  
Geographic Data ◽  
Spatial Geometry ◽  
Emergency Events ◽  
Geocoded Data ◽  
First Time ◽  
Empirical Analyses

AbstractThis article presents a new open source extension to the Emergency Events Database (EM-DAT) that allows researchers, for the first time, to explore and make use of subnational, geocoded data on major disasters triggered by natural hazards. The Geocoded Disasters (GDIS) dataset provides spatial geometry in the form of GIS polygons and centroid latitude and longitude coordinates for each administrative entity listed as a disaster location in the EM-DAT database. In total, GDIS contains spatial information on 39,953 locations for 9,924 unique disasters occurring worldwide between 1960 and 2018. The dataset facilitates connecting the EM-DAT database to other geographic data sources on the subnational level to enable rigorous empirical analyses of disaster determinants and impacts.

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