Spatialization
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GDP Spatialization and Economic Differences in South China Based on NPP-VIIRS Nighttime Light Imagery Open
Accurate data on gross domestic product (GDP) at pixel level are needed to understand the dynamics of regional economies. GDP spatialization is the basis of quantitative analysis on economic diversities of different administrative division…
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Impact of environment on people’s everyday experiences in Stockholm Open
In order to construct urban environments that limit negative impacts for global sustainability while supporting human wellbeing, there is a need to better understand how features of the environment influence people’s everyday experiences. …
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Planning and Design Support Tools for Walkability: A Guide for Urban Analysts Open
We present a survey of operational methods for walkability analysis and evaluation, which we hold show promise as decision-support tools for sustainability-oriented planning and urban design. An initial overview of the literature revealed …
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A review of methods to evaluate crop model performance at multiple and changing spatial scales Open
Crop models are useful tools because they can help understand many complex processes by simulating them. They are mainly designed at a specific spatial scale, the field. But with the new spatial data being made available in modern agricult…
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How to Link Brain and Experience? Spatiotemporal Psychopathology of the Lived Body Open
The focus of the present article is on sketching a psychopathology of the body in schizophrenia and linking it to brain activity. This is done providing converging data from psychopathological evidence (phenomenal), phenomenological contru…
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Spatialization in working memory is related to literacy and reading direction: Culture “literarily” directs our thoughts Open
The ability to maintain arbitrary sequences of items in the mind contributes to major cognitive faculties, such as language, reasoning, and episodic memory. Previous research suggests that serial order working memory is grounded in the bra…
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The Random Forest-Based Method of Fine-Resolution Population Spatialization by Using the International Space Station Nighttime Photography and Social Sensing Data Open
Despite the importance of high-resolution population distribution in urban planning, disaster prevention and response, region economic development, and improvement of urban habitant environment, traditional urban investigations mainly focu…
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Spatial Sequential Modeling and Predication of Global Land Use and Land Cover Changes by Integrating a Global Change Assessment Model and Cellular Automata Open
Characterizing land use and land cover change (LUCC) is critical for understanding the interaction between human activities and global environmental changes, such as in biological diversity and the carbon cycle. Both natural cycles and hum…
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COMPASS: Coding and Multidirectional Parameterization of Ambisonic Sound Scenes Open
Current methods for immersive playback of spatial sound content aim at flexibility in terms of encoding and decoding, abstracting the two from the recording or playback setup. Ambisonics constitutes such a method, that is however signal-in…
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Multicriteria Evaluation for Protected Area Definition Aiming at Water Quality Improvement Open
This study aimed to define potential areas for forest conservation to improve water quality, using Multicriteria Evaluation (MCE); and to verify differences between results from a multidisciplinary group of experts. We worked with the Pira…
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Perceptual Spatial Audio Recording, Simulation, and Rendering: An overview of spatial-audio techniques based on psychoacoustics Open
Developments in immersive audio technologies have been evolving in two directions: physicallymotivated and perceptually-motivated systems. Physically motivated techniques aim to reproduce a physically accurate approximation of desired soun…
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Multiple Global Population Datasets: Differences and Spatial Distribution Characteristics Open
Spatial data of regional populations are indispensable in studying the impact of human activities on resource utilization and the ecological environment. Because the differences between datasets and their spatial distribution are still unc…
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Climatic Benefits From the 2006–2017 Avoided Deforestation in Amazonian Brazil Open
Over three-fourths of Brazil's greenhouse gas (GHG) emissions originate from land-use/cover change (LUCC). Alarming rates of forest loss in the Amazon region gained international attention in the past, but deforestation declined substantia…
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The Limits to Artist‐Led Regeneration: Creative Brownfields in the Cities of High Culture Open
Despite the burgeoning literature on creative cities, seldom explored is the context of cities rich in cultural capital but more orthodox in their approach to preserving the autonomy of culture. This article discusses the status of artisti…
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Evaluation of the Equity of Urban Park Green Space Based on Population Data Spatialization: A Case Study of a Central Area of Wuhan, China Open
To measure the equity of urban park green space, spatial matching between service supply and user group demand should be taken into consideration. However, if the demographic data, with the administrative division as the basic unit, are di…
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Benefits of crowd-sourced GPS information for modelling the recreation ecosystem service Open
Modelling cultural ecosystem services is an enduring challenge, raising issues about the integration and spatialization of immaterial values and benefits, and their contingency on local preferences. Building on the Recreation Opportunity S…
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Population Spatialization in Beijing City Based on Machine Learning and Multisource Remote Sensing Data Open
Remote sensing data have been widely used in research on population spatialization. Previous studies have generally divided study areas into several sub-areas with similar features by artificial or clustering algorithms and then developed …
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Improved GDP spatialization approach by combining land-use data and night-time light data: a case study in China’s continental coastal area Open
Gross domestic product (GDP) reflects a nation or region's economic growth as a whole, and is the sum of product in the primary, secondary, and tertiary sectors of the economy in the area. However, statistical GDP data is problematic i…
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Long time series spatialized data for urban climatological studies: A case study of Paris, France Open
Historically, the urban climate and its interaction with regional environment and larger‐scale meteorological phenomena have been studied by comparing weather stations in urban and surrounding rural areas. Nevertheless, spatialized meteoro…
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Coupling an Intercalibration of Radiance-Calibrated Nighttime Light Images and Land Use/Cover Data for Modeling and Analyzing the Distribution of GDP in Guangdong, China Open
Spatialized GDP data is important for studying the relationships between human activities and environmental changes. Rapid and accurate acquisition of these datasets are therefore a significant area of study. Defense Meteorological Satelli…
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Enduring contexts: Segregation by affluence throughout the life course Open
Although temporal processes are fundamental to the ‘spatialization of class’, they remain understudied. This article thus provides empirical evidence of residential pathways in the Oslo region over the life course; it does so by using popu…
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Using Street-level Images and Deep Learning for Urban La ndscape STUDIES Open
Streets are a focal point of human activities and a major interface of the social interaction between urban dwellers and urban built environment. A better understanding of the urban landscapes along streets is thus important in urban studi…
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Potential estimation of rooftop photovoltaic with the spatialization of energy self-sufficiency in urban areas Open
The distribution of rooftop PV is spatial heterogeneity with the location of buildings. With the assistance of geographic information systems, this study proposed an integrated research framework for the geo-spatial potential assessment of…
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Estimating CO <sub>2</sub> emissions for 108 000 European cities Open
City-level CO2 emissions inventories are foundational for supporting the EU's decarbonization goals. Inventories are essential for priority setting and for estimating impacts from the decarbonization transition. Here we present a new CO2 e…
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Analysis of the Spatial and Temporal Evolution of the GDP in Henan Province Based on Nighttime Light Data Open
The collection of traditional administrative unit-based gross domestic product (GDP) data is time-consuming and laborious, and the data lacks accurate spatial information. Long-term series nighttime light (NTL) data can provide effective s…
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Population spatialization with pixel-level attribute grading by considering scale mismatch issue in regression modeling Open
Population spatialization is widely used for spatially downscaling census population data to finer-scale. The core idea of modern population spatialization is to establish the association between ancillary data and population at the admini…
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Gen*: a generic toolkit to generate spatially explicit synthetic populations Open
International audience
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Local Population Mapping Using a Random Forest Model Based on Remote and Social Sensing Data: A Case Study in Zhengzhou, China Open
High-resolution gridded population data are important for understanding and responding to many socioeconomic and environmental problems. Local estimates of the population allow officials and researchers to make a better local planning (e.g…
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Combining Luojia1-01 Nighttime Light and Points-of-Interest Data for Fine Mapping of Population Spatialization Based on the Zonal Classification Method Open
Fine-scale population spatial distribution plays an important role in urban microcosmic research, influencing infrastructure placement, emergency evacuation management, business decisions, and urban planning. In the past, nighttime light (…
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Modeling and Spatialization of Biomass and Carbon Stock Using LiDAR Metrics in Tropical Dry Forest, Brazil Open
In recent years, with the growing environmental concern regarding climate change, there has been a search for efficient alternatives in indirect methods for the quantification of biomass and forest carbon stock. In this article, we seek to…