scholarly journals Positional Accuracy Assessment for Updating Authoritative Geospatial Datasets Based on Open Source Data and Remotely Sensed Images

2020 ◽  
Vol 26 (2) ◽  
pp. 70-84 ◽  
Author(s):  
Mervat S. Jasem ◽  
Odey AL-Hamadani
Keyword(s):  
High Resolution ◽  
Data Collection ◽  
Open Source ◽  
Spatial Data ◽  
Road Network ◽  
Data Sources ◽  
National Standard ◽  
Positional Accuracy ◽  
Data Collection Methods ◽  
Collection Methods

OpenStreetMap (OSM) represents the most common example of online volunteered mapping applications. Most of these platforms are open source spatial data collected by non-experts volunteers using different data collection methods. OSM project aims to provide a free digital map for all the world. The heterogeneity in data collection methods made OSM project databases accuracy is unreliable and must be dealt with caution for any engineering application. This study aims to assess the horizontal positional accuracy of three spatial data sources are OSM road network database, high-resolution Satellite Image (SI), and high-resolution Aerial Photo (AP) of Baghdad city with respect to an analogue formal road network dataset obtained from the Mayoralty of Baghdad (MB). The methodology of, U.S. National Standard Spatial Data Accuracy (NSSDA) was applied to measure the degree of agreement between each data source and the formal dataset (MB) in terms of horizontal positional accuracy by computing RMSE and NSSDA values. The study concluded that each of the three data sources does not agree with the MB dataset in both study sites AL-Aadhamiyah and AL-Kadhumiyah in terms of positional accuracy.

scholarly journals Point, Walk, Talk: Links Between Three Early Milestones, from Observation and Parental Report

2019 ◽  
Author(s):  
Charlotte Moore ◽  
Shannon Dailey ◽  
Hallie Garrison ◽  
Andrei Amatuni ◽  
Elika Bergelson
Keyword(s):  
Data Collection ◽  
Early Development ◽  
Data Sources ◽  
Longitudinal Analyses ◽  
Parental Report ◽  
Cross Sectional ◽  
Data Collection Methods ◽  
Early Communication ◽  
Symbolic Thinking ◽  
Collection Methods

Around their first birthdays, infants begin to point, walk, and talk. These abilities are appreciable both by researchers with strictly standardized criteria and caregivers with more relaxed notions of what each of these skills entails. Here we compare the onsets of these skills and links among them across two data collection methods: observation and parental report. We examine pointing, walking, and talking in a sample of 44 infants studied longitudinally from 6–18 months. In this sample, links between pointing and vocabulary were tighter than those between walking and vocabulary, supporting a unified socio-communicative growth account. Indeed, across several cross-sectional and longitudinal analyses, pointers had larger vocabularies than their non-pointing peers. In contrast to previous work, this did not hold for walkers’ vs. crawlers’ vocabularies in our sample. Comparing across data sources, we find that reported and observed estimates of the growing vocabulary and of age of walk onset were closely correlated, while agreement between parents and researchers on pointing onset and talking onset was weaker. Taken together, these results support a developmental account in which gesture and language are intertwined aspects of early communication and symbolic thinking, whereas the shift from crawling to walking appears indistinct from age in its relation with language. We conclude that pointing, walking, and talking are on similar timelines yet distinct from one another, and discuss methodological and theoretical implications in the context of early development.

scholarly journals Parunrungi Baju and Attarasa’s Tradition on Akil Balig Process of Konjo Community in Eastern Bulukumba

Al-Qalam ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 421
Author(s):  
Khaerun Nisa'
Keyword(s):  
Data Collection ◽  
Secondary Data ◽  
Research Data ◽  
Data Sources ◽  
Data Collection Methods ◽  
Islamic Perspective ◽  
Descriptive Research ◽  
Qualitative Descriptive ◽  
Collection Methods ◽  
Community Adult

This study aims to determine the process of implementation the <em>parunrungi baju </em>and <em>attarasa’s </em>tradition in the Konjo community adult process, how is the existance of the <em>parunrungi baju </em>and <em>attarasa’s </em>tradition in the modern area, and how is the islamic perspective on the procession of tradition. The type of this research is qualitative descriptive research. Data sources are primary and secondary data. Researcher as a key instrument. Data collection methods are observation, deep interview and documentation. <em>Parunrungi baju </em>and <em>attrarasa’s </em>tradition is a traditional ceremony held by Konjo community in eastern Bulukumba, when  a child enters adulthood. The traditional still exists carried out by the community of Konjo until now, as a way to appreciate the ancestrals heritage. According to the islamic perpective on the procession of the traditional ceremonies, such as the presentation of offerings and flattening of teeth <em>(attarasa)</em> is considered contradictory to the existing rules in islam.<br /><p align="center"> </p>

scholarly journals Overview of emerging road traffic data collection methods

2021 ◽  
Author(s):  
Sandra Mihalinac ◽  
Maja Ahac ◽  
Saša Ahac ◽  
Miroslav Šimun
Keyword(s):  
Data Collection ◽  
Traffic Flow ◽  
Road Network ◽  
Road Traffic ◽  
Traffic Volume ◽  
Transport Systems ◽  
Traffic Data ◽  
Data Collection Methods ◽  
Traffic Data Collection ◽  
Collection Methods

It is a well-known fact that the data on road traffic flow characteristics is essential for sustainable road network management. First road traffic volume counts date back to the 1950s when short-term periodic road traffic counts were carried out in cities worldwide. Manual traffic counting is one of the oldest and most technologically simple methods to obtain data on road traffic volume and its composition. Today, because of the ever-growing road transport demand, it has become clear that the development of Intelligent Transport Systems (ITS) is vital to increase safety and tackle increasing emission and congestion problems. The introduction of ITS highly depends on the quality and quantity of traffic data. Under the growing requirement of long-term traffic flow information, various traffic data collection methods have evolved. They allow systematic recording of the traffic flow volume and composition but also vehicle speed, total gross weight, number of axles, axle load and travel destination. This data, which is collected continuously over longer periods, enables a detailed analysis of traffic flows, and represents the basis for decision making in planning, designing, construction and maintenance of road infrastructure. This paper gives an overview of traditional and emerging traffic data collection methods - both fixed and mobile - and the analysis of the current road traffic data collection methods used on the Croatian road network, in terms of their potential and limitations.

scholarly journals Modular designed Apps – an opportunity to standardize data collection methods and to encourage the reuse of software

2021 ◽  
Author(s):  
Sina C. Truckenbrodt ◽  
Maximilian Enderling ◽  
Carsten Pathe ◽  
Erik Borg ◽  
Christiane C. Schmullius ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Open Source ◽  
Open Source Software ◽  
Research Question ◽  
Arable Land ◽  
Forest Monitoring ◽  
Data Collection Methods ◽  
Collection Methods ◽  
Quality Recording

&lt;p&gt;Data collection strategies vary among different citizen science projects. This complicates the intercomparability of parameter values acquired in different studies (e.g., methodological and scale issues) and results in variable data quality. This creates problems regarding the merging of different data sets and hampers the reuse of data from different projects. Modular designed applications for mobile devices (Apps) represent a framework that helps to foster the standardisation of data collection methods. While they encourage the reuse of the software, they provide enough flexibility for an adjustment in accordance with the research question(s) of interest.&lt;/p&gt;&lt;p&gt;The currently developed App &amp;#8220;FieldMApp&amp;#8221; offers such a framework running under Android and iOS. The related concept includes predefined frame functionalities, like settings for the user account and the user interface, and adaptable application-related functionalities. The latter comprise several modules that are categorized as sensor test, basic functionality, parameter collection and data quality collection modules. The interdependencies of these modules are documented in a wiki. This enables an individual and context-based selection of functionalities. The FieldMApp is based on open-source software libraries (Xamarin, Open Development Kit (ODK), SQLite, CoreCLR-NCalc, LusoV.YamarinUsbSerialForAndroid, Newtonsoft.Json, SharpZipLib) and will be published as open-source software. Hence, the existing catalogue of functionalities can be augmented in the future. The premise for such extensions is that modules are published together with smart, universally applicable data quality recording routines and a proper documentation in the wiki.&lt;/p&gt;&lt;p&gt;In this contribution, we present the concept and the structure of the FieldMApp and some current fields of application that are related to the cultivation of arable land, soil mapping, forest monitoring, and Earth Observation. The extension of the functionality catalogue is exemplified by the newly implemented speech recognition module. A related quality recording routine will be introduced. With this contribution we would like to encourage citizens and scientists to elicit which requirements such an App should fulfil from their point of view.&lt;/p&gt;

scholarly journals Generating knowledge on data collection methods and the availability of health information in Europe

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
B Unim ◽  
E Mattei ◽  
F Carle ◽  
E Bernal-Delgado ◽  
P Achterberg ◽  
...  
Keyword(s):  
Data Collection ◽  
Policy Making ◽  
Health Data ◽  
Data Sources ◽  
Research Networks ◽  
Data Collection Methods ◽  
Eu Countries ◽  
Health System Performance Assessment ◽  
Data Collections ◽  
Collection Methods

Abstract Background Data collection methods, metadata-reporting standards and usage of data for health monitoring (HM) and health system performance assessment (HSPA) are not uniform in Europe. Moreover, the evidence produced by research are not always available, comparable or usable for research purposes and policy making. The aim is to summarize health data collection methods, quality assessment, availability and accessibility procedures covering different data sources for HM and HSPA across EU countries. Methods The study is conducted through a multidimensional approach, which includes: i) a review of institutional websites (OECD, Eurostat, WHO-Europe); ii) a review of EU research networks; and iii) a multi-national survey addressing epidemiologists, health data managers and researchers that have played leading roles in EU projects. Currently, the survey instrument is being piloted. A qualitative data analysis to describe and compare the identified data sources for HM and HSPA will be performed. Results As part of the work within the Joint Action ‘Information for Action’ (InfAct), the study will generate knowledge on standardized health data collections and related metadata, used methods and procedures for HM and HSPA in EU. It will also facilitate the identification of national or sub-national health data collected through standardized procedures but not included in international databases or research networks. Conclusions The lack of infrastructures for health data sharing in EU limits data usage and comparability within and between countries. This study, as part of InfAct, will facilitate the assessment of health inequalities across EU countries in terms of quality, availability, accessibility and comparability of health data and information. It will also facilitate sharing and dissemination of standardized and comparable health data collections, which are essential for research and evidence-based policy-making.

scholarly journals Analyzing the Frequency and Content of Read Aloud Articles Published in Selected Journals across the K-8 Curriculum

2020 ◽  
Vol 8 (1) ◽  
pp. 109
Author(s):  
William P. Bintz
Keyword(s):  
Content Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Reading Aloud ◽  
Data Sources ◽  
Read Aloud ◽  
Research Methodologies ◽  
Data Collection Methods ◽  
Research Questions ◽  
Collection Methods

This article reports research results from an analyzsis of frequency and content of read aloud articles published between 2011 and 2015 in selected, national, peer-reviewed journals across the K-8 curriculum. An introduction describes the problem, purpose, and limitations of the study. It provides a review of research on reading aloud at home, in school, across the curriculum, and across grade bands. It also identifies research questions, discusses frequency and content analysis as research methodologies, and describes data sources, data collection methods, and data analysis procedures, followed by a presentation of results.

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