scholarly journals Impressionist Landscape Cartography

2018 ◽  
Vol 1 ◽  
pp. 1-5
Author(s):  
Stella W. Todd
Keyword(s):  
Mental Maps ◽  
Positioning Systems ◽  
Human Behaviors ◽  
Travel Experience ◽  
Separate Event ◽  
Global Positioning ◽  
The World ◽  
Time Stamps ◽  
Map Scale ◽  
Generalize Information

Cartography helps to show us the world in which we reside by providing us a framework to explore space. We can select myriad themes to represent what is relevant to our lives: physical characteristics, human behaviors, hazards, opportunities. Themes are represented on a continuum between real-world images and pure abstractions. How we define cartography and what we expect from it changes with society and technology. We are now inundated with data but we still struggle with expressing our personal geographic experiences through cartography. In this age of information we have become more cognizant of our individual experience of place and our need to determine our own paths and therefore create our own maps. In order to reflect our journey we can add individual details to cartographic products or generalize information to concentrate on what is meaningful to us. Since time and space are interrelated we experience geography by viewing the landscape as changing scenes over time. This experience is both spatial and temporal since we experience geography by moving through space. Experiencing each scene is a separate event. This paper expands the personalization of maps to include our impressions of the travel experience. Rather than add art to cartography it provides geographic reference to art. It explores the use of a series of quick sketches drawn while traveling along roads using a single drawing pad to produce a time series of interpreted landscapes. With the use of geographic time stamps from global positioning systems these sketches are converted from a drawing to a map documenting the path of movement. Although the map scale varies between sketch entries each scene impression can be linked to one or more maps of consistent scale. The result is an artistic piece that expresses a dynamic geographic experience that can be viewed in conjunction with more traditional maps. Unlike mental maps which are constructed from memory, these maps reflect our direct impressions of the landscape. The use of art can help us convey our experience.

Anytime, Anywhere in the Context of Mobile Work

2005 ◽  
pp. 131-134 ◽  
Author(s):  
Mikael Wiberg
Keyword(s):  
Distributed Computing ◽  
The Internet ◽  
Global Positioning Systems ◽  
Global Village ◽  
Wireless Technologies ◽  
Positioning Systems ◽  
Mobile Work ◽  
Global Positioning ◽  
The World ◽  
Close Cooperation

Kleinrock (1996, 1998) claims that advanced wireless technologies, the Internet, Global Positioning Systems, portable and distributed computing, and so forth will realize the vision of “anytime, anywhere” computing. We can today see the first signs of this vision. For example, telework is now possible, remote organizations can be engaged in close cooperation, and people can form communities on the Internet. The world has become a “global village,” some claim (Castells, 1996; Preece, 1994), where you can interact with anybody independent of time and space.

Time Drift Considerations When Using GPS and Accelerometers

2019 ◽  
Vol 2 (3) ◽  
pp. 203-207 ◽  
Author(s):  
Chelsea Steel ◽  
Carolina Bejarano ◽  
Jordan A. Carlson
Keyword(s):  
Linear Regression ◽  
Mixed Effects ◽  
Time Intervals ◽  
Positioning Systems ◽  
Global Positioning ◽  
Time Stamps ◽  
Time Drift ◽  
Research Questions ◽  
The Difference ◽  
Gps Devices

Purpose: To investigate potential time drift between devices when using Global Positioning Systems (GPS) and accelerometers in field-based research. Methods: Six Qstarz BT-Q1000XT GPS trackers, activPAL3 accelerometers, and ActiGraph GT3X+ and GT3X accelerometers were tested over 1–3 waves, each lasting 9–14 days. Once per day an event marker was created on each pair of devices concurrently. The difference in seconds between the time stamps for each event marker were calculated between each pair of GPS and activPAL devices and GPS and ActiGraph devices. Mixed-effects linear regression tested time drift across days and waves and between two rooms/locations (in an inner room vs. on a windowsill in an outer room). Results: The GPS trackers remained within one second of the computer clock across days and waves and between rooms. The activPAL devices drifted an average of 8.38 seconds behind the GPS devices over 14 days (p < .001). The ActiGraph GT3X+ devices drifted an average of 11.67 seconds ahead of the GPS devices over 14 days (p < .001). The ActiGraph GT3X devices drifted an average of 28.83 seconds behind the GPS devices over 9 days (p < .001). Time drift did not differ across waves but did differ between rooms and across devices. Conclusions: Time drift between the GPS and accelerometer models tested was minimal and is unlikely to be problematic when addressing many common research questions. However, studies that require high levels of precision when matching short (e.g., 1-second) time intervals may benefit from consideration of time drift and potential adjustments.

Anytime, Anywhere Mobility

2011 ◽  
pp. 164-168 ◽  
Author(s):  
Mikael Wiberg
Keyword(s):  
Digital Media ◽  
Cooperative Work ◽  
Computer Supported Cooperative Work ◽  
The Internet ◽  
It Use ◽  
Global Village ◽  
Positioning Systems ◽  
Global Positioning ◽  
The World ◽  
Close Cooperation

Just a couple of years ago several mobile phone operators and others (e.g., Helal, 1999; Galambos, 2002; Ilderem, 2005) pushed forward “anytime, anywhere” as a goal or vision for future mobile services and mobile IT-use. In this article we set out to explore if “anytime, anywhere” mobility is in fact a paradox. Kleinrock (1996, 1998) claims advanced wireless technologies, the Internet, global positioning systems, portable and distributed computing, and so forth, will realize the vision of “anytime, anywhere.” We can today see the first signs of this vision. For example, telework is now possible, remote organizations can be engaged in close cooperation, and people can communicate, collaborate, share digital media, and form communities on the Internet. The world has become a global village, some claim (Preece, 1994, Castells, 1996), where you can interact with anybody independent of time and space. The vision of “anytime, anywhere” describes a situation where people can do tasks wherever they want and without any consideration of time. Related to the vision is the 2x2 matrix often used in the field of computer supported cooperative work (CSCW) to denote different kinds of computer supported collaboration (e.g., Johansen, 1988; Baecker et al., 1993). This model has the dimensions of time and place, where each can be the same or different. The model is shown in Figure 1.

Electronic monitoring: The experience in Australia

2017 ◽  
Vol 9 (1) ◽  
pp. 80-102 ◽  
Author(s):  
Lorana Bartels ◽  
Marietta Martinovic
Keyword(s):  
Comparative Analysis ◽  
Cost Effectiveness ◽  
Radio Frequency ◽  
Electronic Monitoring ◽  
Evidence Based ◽  
Positioning Systems ◽  
Global Positioning ◽  
The World ◽  
English Speaking ◽  
World Trend

Electronic monitoring (EM) has been introduced in over 30 countries around the world. In most English-speaking countries, it has moved well beyond experimental status and become a regularly applied penal measure. Australia has been lagging behind this world trend, as EM has yet not become dominant in our correctional landscape. This is even though sanctions that utilise radio-frequency and/or global positioning systems (GPS) monitoring have existed in Australia for decades. This article critically examines overseas evaluative findings of EM in relation to recidivism, cost-effectiveness and net-widening, as well as some of the issues and concerns that are associated with EM. The article then summarises and explains the limited Australian EM experience to date. It predicts that increased application of EM in Australia seems likely and should be evidence-based. In this context, there is an urgent need for increased understanding about the use and impact of EM in Australia. The article concludes with some observations about the importance of comparative analysis in this context.

Confiabilidad de los registros obtenidos por medio de dos sistemas de posicionamiento global en actividades de desplazamiento humano

2012 ◽  
Vol 2 (3 - 4) ◽  
pp. 117
Author(s):  
Jeison Daniel Salazar Pachón ◽  
David Armando Chaparro Obando ◽  
Nicolás Tordi
Keyword(s):  
Global Positioning Systems ◽  
Positioning Systems ◽  
Global Positioning ◽  
El Sistema

<p>El presente estudio examinó  la confiabilidad de los registros de dos sistemas de posicionamiento global (<em>global positioning systems  </em>[GPS]), Garmin310XT y FRWDB600,  sobre  las distancias  recorridas a diferentes  velocidades,  tras un protocolo a pie y otro  en bicicleta realizados  en una pista atlética.  Esta información se comparó con el trayecto  real de recorrido, hecho a partir  del cálculo: <em>ritmo de recorrido (r) = distancia recorrida (d) x tiempo  de recorri- do, </em>y se controló con un metrónomo Sport Beeper. Los participantes fueron dos jóvenes de edad  media  22 años  ± 1, activos  físicamente. En los resultados, se observaron diferencias  entre los registros de ambos sistemas GPS; el protocolo a pie Garmin tuvo un porcentaje de concordancia de 101,1%, mientras que FRWD presentó  103%. En el protocolo en bicicleta se obtuvo 103,4% y 101,6%, respectivamente. Se concluyó  que el uso de GPS es más fiable cuando  las velocidades  de desplazamiento humano son bajas  o moderadas  para  el sistema Garmin  (7-14 km/h), ya que al ser más altas la fiabilidad  de la información podría  ser menor, mientras  que el sistema FRWD presentó  mayor confiabilidad en velocidades moderadas (14-22 km/h).</p>

Confiabilidad de los registros obtenidos por medio de dos sistemas de posicionamiento global en actividades de desplazamiento humano

2011 ◽  
Vol 1 (2) ◽  
pp. 117
Author(s):  
Jeison Daniel Salazar Pachón ◽  
David Armando Chaparro Obando ◽  
Nicolás Tordi
Keyword(s):  
Global Positioning Systems ◽  
Positioning Systems ◽  
Global Positioning ◽  
El Sistema

El presente estudio examinó  la confiabilidad de los registros de dos sistemas de posicionamiento global (<em>global positioning systems  </em>[GPS]), Garmin310XT y FRWDB600,  sobre  las distancias  recorridas a diferentes  velocidades,  tras un protocolo a pie y otro  en bicicleta realizados  en una pista atlética.  Esta información se comparó con el trayecto  real de recorrido, hecho a partir  del cálculo: <em>ritmo de recorrido (r) = distancia recorrida (d) x tiempo  de recorrido, </em>y se controló con un metrónomo Sport Beeper. Los participantes fueron dos jóvenes de edad  media  22 años  ± 1, activos  físicamente. En los resultados, se observaron diferencias  entre los registros de ambos sistemas GPS; el protocolo a pie Garmin tuvo un porcentaje de concordancia de 101,1%, mientras  que FRWD presentó  103%. En el protocolo en bicicleta se obtuvo 103,4% y 101,6%, respectivamente. Se concluyó  que el uso de GPS es más fiable cuando  las velocidades  de desplazamiento humano son bajas  o mo- deradas  para  el sistema Garmin  (7-14 km/h), ya que al ser más altas la fiabilidad  de la información podría  ser menor, mientras  que el sistema FRWD presentó  mayor confiabilidad en velocidades moderadas (14-22 km/h).

scholarly journals A Time-Based Objective Measure of Exposure to the Food Environment

2019 ◽  
Vol 16 (7) ◽  
pp. 1180 ◽  
Author(s):  
Jason Scully ◽  
Anne Moudon ◽  
Philip Hurvitz ◽  
Anju Aggarwal ◽  
Adam Drewnowski
Keyword(s):  
Food Environment ◽  
Fast Food ◽  
Objective Measure ◽  
Mobility Patterns ◽  
Time Duration ◽  
Positioning Systems ◽  
Global Positioning ◽  
Fast Food Restaurants ◽  
Logistic Regressions ◽  
The Relationship

Exposure to food environments has mainly been limited to counting food outlets near participants’ homes. This study considers food environment exposures in time and space using global positioning systems (GPS) records and fast food restaurants (FFRs) as the environment of interest. Data came from 412 participants (median participant age of 45) in the Seattle Obesity Study II who completed a survey, wore GPS receivers, and filled out travel logs for seven days. FFR locations were obtained from Public Health Seattle King County and geocoded. Exposure was conceptualized as contact between stressors (FFRs) and receptors (participants’ mobility records from GPS data) using four proximities: 21 m, 100 m, 500 m, and ½ mile. Measures included count of proximal FFRs, time duration in proximity to ≥1 FFR, and time duration in proximity to FFRs weighted by FFR counts. Self-reported exposures (FFR visits) were excluded from these measures. Logistic regressions tested associations between one or more reported FFR visits and the three exposure measures at the four proximities. Time spent in proximity to an FFR was associated with significantly higher odds of FFR visits at all proximities. Weighted duration also showed positive associations with FFR visits at 21-m and 100-m proximities. FFR counts were not associated with FFR visits. Duration of exposure helps measure the relationship between the food environment, mobility patterns, and health behaviors. The stronger associations between exposure and outcome found at closer proximities (<100 m) need further research.

scholarly journals Using Different Combinations of Body-Mounted IMU Sensors to Estimate Speed of Horses—A Machine Learning Approach

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 798
Author(s):  
Hamed Darbandi ◽  
Filipe Serra Bragança ◽  
Berend Jan van der Zwaag ◽  
John Voskamp ◽  
Annik Imogen Gmel ◽  
...  
Keyword(s):  
Machine Learning ◽  
The Body ◽  
Biomechanical Analysis ◽  
Estimation Accuracy ◽  
Speed Estimation ◽  
Motion Patterns ◽  
Positioning Systems ◽  
Machine Learning Approach ◽  
Global Positioning ◽  
Measurement Units

Speed is an essential parameter in biomechanical analysis and general locomotion research. It is possible to estimate the speed using global positioning systems (GPS) or inertial measurement units (IMUs). However, GPS requires a consistent signal connection to satellites, and errors accumulate during IMU signals integration. In an attempt to overcome these issues, we have investigated the possibility of estimating the horse speed by developing machine learning (ML) models using the signals from seven body-mounted IMUs. Since motion patterns extracted from IMU signals are different between breeds and gaits, we trained the models based on data from 40 Icelandic and Franches-Montagnes horses during walk, trot, tölt, pace, and canter. In addition, we studied the estimation accuracy between IMU locations on the body (sacrum, withers, head, and limbs). The models were evaluated per gait and were compared between ML algorithms and IMU location. The model yielded the highest estimation accuracy of speed (RMSE = 0.25 m/s) within equine and most of human speed estimation literature. In conclusion, highly accurate horse speed estimation models, independent of IMU(s) location on-body and gait, were developed using ML.

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