Integration of Landscape Approaches for the Spatial Reconstruction of Vegetation

Author(s):  
Valerio Castro-López ◽  
Alejandro Velázquez ◽  
Gabriela Domínguez-Vázquez
Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 768 ◽  
Author(s):  
Corinne Cannavale ◽  
Kelsey Hassevoort ◽  
Caitlyn Edwards ◽  
Sharon Thompson ◽  
Nicholas Burd ◽  
...  

Dietary carotenoids, plant pigments with anti-oxidant properties, accumulate in neural tissue and are often found in lower concentrations among individuals with obesity. Given previous evidence of negative associations between excess adiposity and memory, it is possible that greater carotenoid status may confer neuroprotective effects among persons with overweight or obesity. This study aimed to elucidate relationships between carotenoids assessed in diet, serum, and the macula (macular pigment optical density (MPOD)) and relational memory among adults who are overweight or obese. Adults aged 25–45 years (N = 94) completed a spatial reconstruction task. Task performance was evaluated for accuracy of item placement during reconstruction relative to the location of the item during the study phase. Dietary carotenoids were assessed using 7-day diet records. Serum carotenoids were measured using high-performance liquid chromatography. Hierarchical linear regression analyses were used to determine the relationship between carotenoids and task performance. Although initial correlations indicated that dietary lutein, beta-carotene, and serum beta-carotene were positively associated with memory performance, these relationships were not sustained following adjustment for age, sex, and BMI. Serum lutein remained positively associated with accuracy in object binding and inversely related to misplacement error after controlling for covariates. Macular carotenoids were not related to memory performance. Findings from this study indicate that among the carotenoids evaluated, lutein may play an important role in hippocampal function among adults who are overweight or obese.


2021 ◽  
Vol 10 (7) ◽  
pp. 460
Author(s):  
Mario Matthys ◽  
Laure De Cock ◽  
John Vermaut ◽  
Nico Van de Weghe ◽  
Philippe De Maeyer

More and more digital 3D city models might evolve into spatiotemporal instruments with time as the 4th dimension. For digitizing the current situation, 3D scanning and photography are suitable tools. The spatial future could be integrated using 3D drawings by public space designers and architects. The digital spatial reconstruction of lost historical environments is more complex, expensive and rarely done. Three-dimensional co-creative digital drawing with citizens’ collaboration could be a solution. In 2016, the City of Ghent (Belgium) launched the “3D city game Ghent” project with time as one of the topics, focusing on the reconstruction of disappeared environments. Ghent inhabitants modelled in open-source 3D software and added animated 3D gamification and Transmedia Storytelling, resulting in a 4D web environment and VR/AR/XR applications. This study analyses this low-cost interdisciplinary 3D co-creative process and offers a framework to enable other cities and municipalities to realise a parallel virtual universe (an animated digital twin bringing the past to life). The result of this co-creation is the start of an “Animated Spatial Time Machine” (AniSTMa), a term that was, to the best of our knowledge, never used before. This research ultimately introduces a conceptual 4D space–time diagram with a relation between the current physical situation and a growing number of 3D animated models over time.


2013 ◽  
Vol 17 (5) ◽  
pp. 236-247 ◽  
Author(s):  
D.J. Larson ◽  
B. Gault ◽  
B.P. Geiser ◽  
F. De Geuser ◽  
F. Vurpillot

2021 ◽  
Author(s):  
Malte Oeljeklaus

This thesis investigates methods for traffic scene perception with monocular cameras for a basic environment model in the context of automated vehicles. The developed approach is designed with special attention to the computational limitations present in practical systems. For this purpose, three different scene representations are investigated. These consist of the prevalent road topology as the global scene context, the drivable road area and the detection and spatial reconstruction of other road users. An approach is developed that allows for the simultaneous perception of all environment representations based on a multi-task convolutional neural network. The obtained results demonstrate the efficiency of the multi-task approach. In particular, the effects of shareable image features for the perception of the individual scene representations were found to improve the computational performance. Contents Nomenclature VII 1 Introduction 1 1.1 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Outline and contributions . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2 Related Work and Fundamental Background 8 2.1 Advances in CNN...


2018 ◽  
Vol 19 (8) ◽  
pp. 1379-1396 ◽  
Author(s):  
S. E. Nicholson ◽  
D. Klotter ◽  
A. K. Dezfuli ◽  
L. Zhou

Abstract This paper describes three new rainfall datasets that have been developed for equatorial Africa. The development relies on acquisition of recent gauge data from the relevant countries and statistical methods to fill in gaps in coverage. Two of the three datasets are gridded with spatial resolutions of 2.5° and 5.0°, and the third is regionally aggregated and based purely on gauge data. The work is based on a total of 1826 gauge records in the analysis sector, of which only several hundred operate in recent years. The gridded datasets were produced and validated by using a period of dense coverage (1947–72) to “calibrate” a spatial reconstruction method, which is then utilized to grid data for the remaining years. The period 1973–2010 served as a validation period. The validation was carried out by comparing the gridded values with values obtained by simple averaging of station data in grid boxes with an adequate number of stations. This exercise clearly showed that the statistical reconstruction approach based on principal components produced far superior results than those from the more commonly used kriging. The gridded datasets cover each month of the year, six seasons, and annual rainfall, and they commence in 1921 and extend through 2014. In contrast, the gauge-only regional dataset covers varied time periods, depending on the geographical region in question. Records for several regions cover nearly all of the twentieth century and most extend to 2014.


Libri ◽  
2018 ◽  
Vol 68 (3) ◽  
pp. 165-179
Author(s):  
Xin Chen ◽  
Yingxi Liu

Abstract With the spatial culture theory as the basis and from the perspective of cultural heritage, this paper elucidates the construction of the Liu Xiao Ling Tong Book Pavilion of Yunnan Normal University (which may also be interpreted as a Traditional Culture Commons), introduces modern library concepts such as ‘celebrity charm’, featured resources and space reconstruction, as well as provides enlightenment to the library cycle with Chinese wisdom and experience. This paper applies participant observation method, interviewing method and textual analysis method with the data collection period from September 2015 to December 2016. Through library space reconstruction and the inheritance of certain outstanding features of Chinese culture, the Liu Xiao Ling Tong Book Pavilion has had an influence among university faculty and students, the university library circle in China and even the entire education circle, while also complemented and improved the applicability of the spatial culture theory in the library circumstance.


Author(s):  
Ivan Trishin

This article addresses spatial reconstruction of the manor complex with the help of 3D modeling and 3D visualization. The topicality of the issue is determined by a big number of dvoryane architectural monuments in Moscow Oblast which have been partially or totally lost, but bear historical and cultural importance at the local or the regional level. Not many of them will be restored but most of them are related to famous or influential noble dynasties that had played an important role in Russian history.  Virtual reconstruction of these complexes is a way to “revive” this history and search for new aspects of dvoryanstvo’s life in the 17th – early 20th centuries. The article describes the main methods and technological solutions of spatial reconstruction of a manor complex by the example of Nikolskoe-Uryupino Manor (Krasnogorskiy Urban Okrug, Moscow Oblast). The manor has become known due to Golitsyny dynasty that created a picturesque architectural and park ensemble. The current state of the complex and many different sources at hand provide for detailed reconstruction of the main buildings as well as create the surrounding space similar to the original one. The reconstruction is described in details starting with the source analysis and methodical studies to the description of the virtual projects visualization.


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