scholarly journals Defining Regions of Pre-Colonial Africa: A Controlled Vocabulary for Linking Open-Source Data in Digital History Projects

2021 ◽  
pp. 1-26
Author(s):  
Henry B. Lovejoy ◽  
Paul E. Lovejoy ◽  
Walter Hawthorne ◽  
Edward A. Alpers ◽  
Mariana Candido ◽  
...  
Keyword(s):  
Open Source ◽  
Digital Humanities ◽  
Controlled Vocabulary ◽  
Primary Sources ◽  
Digital History ◽  
Open Source Data ◽  
Source Data ◽  
Slave Traders ◽  
History Of

Abstract Regionalizing pre-colonial Africa aids in the collection and interpretation of primary sources as data for further analysis. This article includes a map with six broad regions and 34 sub-regions, which form a controlled vocabulary within which researchers may geographically organize and classify disparate pieces of information related to Africa’s past. In computational terms, the proposed African regions serve as data containers in order to consolidate, link, and disseminate research among a growing trend in digital humanities projects related to the history of the African diasporas before c. 1900. Our naming of regions aims to avoid terminologies derived from European slave traders, colonialism, and modern-day countries.

Redefining African Regions for Linking Open-Source Data

2019 ◽  
Vol 46 ◽  
pp. 5-36 ◽  
Author(s):  
Henry B. Lovejoy ◽  
Paul E. Lovejoy ◽  
Walter Hawthorne ◽  
Edward A. Alpers ◽  
Mariana Candido ◽  
...  
Keyword(s):  
Open Source ◽  
African Diaspora ◽  
Slave Trade ◽  
Primary Sources ◽  
Time And Space ◽  
Public Consumption ◽  
Open Source Data ◽  
Source Data ◽  
History Of ◽  
Out Of Africa

Abstract:In recent years, an increasing number of online archival databases of primary sources related to the history of the African diaspora and slavery have become freely and readily accessible for scholarly and public consumption. This proliferation of digital projects and databases presents a number of challenges related to aggregating data geographically according to the movement of people in and out of Africa across time and space. As a requirement to linking data of open-source digital projects, it has become necessary to delimit the entire continent of precolonial Africa during the era of the slave trade into broad regions and sub-regions that can allow the grouping of data effectively and meaningfully.

Using Open-Source Data in Correlative Species Distribution Modeling of Marine Species

2018 ◽  
Vol 80 (6) ◽  
pp. 457-461
Author(s):  
Carlos A. Morales-Ramirez ◽  
Pearlyn Y. Pang
Keyword(s):  
Open Source ◽  
Species Distribution ◽  
Open Source Software ◽  
Species Distribution Modeling ◽  
Science Research ◽  
Marine Species ◽  
Distribution Modeling ◽  
Open Source Data ◽  
Rapid Changes ◽  
Source Data

Open-source data are information provided free online. It is gaining popularity in science research, especially for modeling species distribution. MaxEnt is an open-source software that models using presence-only data and environmental variables. These variables can also be found online and are generally free. Using all of these open-source data and tools makes species distribution modeling (SDM) more accessible. With the rapid changes our planet is undergoing, SDM helps understand future habitat suitability for species. Due to increasing interest in biogeographic research, SDM has increased for marine species, which were previously not commonly found in this modeling. Here we provide examples of where to obtain the data and how the modeling can be performed and taught.

Modelling urban energy requirements using open source data and models

2018 ◽  
Vol 231 ◽  
pp. 1100-1108 ◽  
Author(s):  
Alaa Alhamwi ◽  
Wided Medjroubi ◽  
Thomas Vogt ◽  
Carsten Agert
Keyword(s):  
Open Source ◽  
Energy Requirements ◽  
Open Source Data ◽  
Source Data ◽  
Urban Energy

scholarly journals Method to Characterize Potential UAS Encounters Using Open Source Data

Aerospace ◽  
2020 ◽  
Vol 7 (11) ◽  
pp. 158
Author(s):  
Andrew Weinert
Keyword(s):  
Open Source ◽  
Unmanned Aircraft ◽  
Unmanned Aerial Systems ◽  
Horizontal Distance ◽  
Geospatial Information ◽  
Open Source Data ◽  
Source Data ◽  
Aircraft Trajectories ◽  
Processing Techniques ◽  
Aerial Systems

As unmanned aerial systems (UASs) increasingly integrate into the US national airspace system, there is an increasing need to characterize how commercial and recreational UASs may encounter each other. To inform the development and evaluation of safety critical technologies, we demonstrate a methodology to analytically calculate all potential relative geometries between different UAS operations performing inspection missions. This method is based on a previously demonstrated technique that leverages open source geospatial information to generate representative unmanned aircraft trajectories. Using open source data and parallel processing techniques, we performed trillions of calculations to estimate the relative horizontal distance between geospatial points across sixteen locations.

The SPMF Open-Source Data Mining Library Version 2

2016 ◽  
pp. 36-40 ◽  
Author(s):  
Philippe Fournier-Viger ◽  
Jerry Chun-Wei Lin ◽  
Antonio Gomariz ◽  
Ted Gueniche ◽  
Azadeh Soltani ◽  
...  
Keyword(s):  
Data Mining ◽  
Open Source ◽  
Open Source Data ◽  
Source Data
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