scholarly journals Automatic Identification of the Social Functions of Areas of Interest (AOIs) Using the Standard Hour-Day-Spectrum Approach

2019 ◽  
Vol 9 (1) ◽  
pp. 7 ◽  
Author(s):  
Tong Zhou ◽  
Xintao Liu ◽  
Zhen Qian ◽  
Haoxuan Chen ◽  
Fei Tao
Keyword(s):  
Land Use ◽  
Value Added ◽  
Gaussian Kernel ◽  
Land Use Classification ◽  
K Nearest Neighbor ◽  
Social Functions ◽  
Fine Grained ◽  
Functional Zoning ◽  
The Social ◽  
Areas Of Interest

The social function of areas of interest (AOIs) is crucial to the identification of urban functional zoning and land use classification, which has been a hot topic in various fields such as urban planning and smart city fields. Most existing studies on urban functional zoning and land use classification either largely rely on low-frequency remote sensing images, which are constrained to the block level due to their spatial scale limitation, or suffer from low accuracy and high uncertainty when using dynamic data, such as social media and traffic data. This paper proposes an hour-day-spectrum (HDS) approach for generating six types of distribution waveforms of taxi pick-up and drop-off points which serve as interpretation indicators of the social functions of AOIs. To achieve this goal, we first performed fine-grained cleaning of the drop-off points to eliminate the spatial errors caused by taxi drivers. Next, buffer and spatial clustering were integrated to explore the associations between travel behavior and AOIs. Third, the identification of AOI types was made by using the standard HDS method combined with the k-nearest neighbor (KNN) algorithm. Finally, some matching tests were carried out by similarity indexes of a standard HDS and sample HDS, i.e., the Gaussian kernel function and Pearson coefficient, to ensure matching accuracy. The experiment was conducted in the Chongchuan and Gangzha Districts, Nantong, Jiangsu Province, China. By training 50 AOI samples, six types of standard HDS of residential districts, schools, hospitals, and shopping malls were obtained. Then, 108 AOI samples were tested, and the overall accuracy was found to be 90.74%. This approach generates value-added services of the taxi trajectory and provides a continuous update and fine-grained supplementary method for the identification of land use types. In addition, the approach is object-oriented and based on AOIs, and can be combined with image interpretation and other methods to improve the identification effect.

scholarly journals Fine-Grained Land Use Classification at the City Scale Using Ground-Level Images

2019 ◽  
Vol 21 (7) ◽  
pp. 1825-1838 ◽  
Author(s):  
Yi Zhu ◽  
Xueqing Deng ◽  
Shawn Newsam
Keyword(s):  
Land Use ◽  
Ground Level ◽  
Land Use Classification ◽  
Fine Grained ◽  
The City

Paul the Letter Writer

2020 ◽  
Author(s):  
Laura Dingeldein
Keyword(s):  
Community Building ◽  
Letter Writing ◽  
Classical Antiquity ◽  
Social Functions ◽  
Textual Production ◽  
Social Positioning ◽  
The Social ◽  
Letter Writer ◽  
Areas Of Interest ◽  
The Ideal

This essay focuses on the social functions of Paul’s letter writing activities, with the purpose of helping to situate such activities within the landscape of ancient Mediterranean epistolography and religion. After briefly identifying major areas of interest in recent research on Paul’s letter writing activities, the author examines the ways in which Paul’s epistolary practices advanced his goals in social positioning, community building, and virtue cultivation among Christ recruits. Letters were understood within classical antiquity to facilitate conversations among friends, reveal a writer’s character, and provide clear and concise instruction on a given subject. Letter writing also often contributed to the social capital of a letter’s author, insofar as letter writing displayed skills in literacy and textual production. Each of these epistolary functions would have advanced Paul’s goals regarding social positioning, community building, and moral development, thus making letters the ideal written medium for Paul to use in his apostolic activities.

scholarly journals EXPLORING SEMANTIC RELATIONSHIPS FOR HIERARCHICAL LAND USE CLASSIFICATION BASED ON CONVOLUTIONAL NEURAL NETWORKS

2020 ◽  
Vol V-2-2020 ◽  
pp. 599-607
Author(s):  
C. Yang ◽  
F. Rottensteiner ◽  
C. Heipke
Keyword(s):  
Land Use ◽  
Information Source ◽  
Semantic Category ◽  
Semantic Segmentation ◽  
Aerial Images ◽  
Land Use Classification ◽  
Semantic Relationships ◽  
Fine Grained ◽  
Semantic Dependencies ◽  
Number Of Classes

Abstract. Land use (LU) is an important information source commonly stored in geospatial databases. Most current work on automatic LU classification for updating topographic databases considers only one category level (e.g. residential or agricultural) consisting of a small number of classes. However, LU databases frequently contain very detailed information, using a hierarchical object catalogue where the number of categories differs depending on the hierarchy level. This paper presents a method for the classification of LU on the basis of aerial images that differentiates a fine-grained class structure, exploiting the hierarchical relationship between categories at different levels of the class catalogue. Starting from a convolutional neural network (CNN) for classifying the categories of all levels, we propose a strategy to simultaneously learn the semantic dependencies between different category levels explicitly. The input to the CNN consists of aerial images and derived data as well as land cover information derived from semantic segmentation. Its output is the class scores at three different semantic levels, based on which predictions that are consistent with the class hierarchy are made. We evaluate our method using two test sites and show how the classification accuracy depends on the semantic category level. While at the coarsest level, an overall accuracy in the order of 90% can be achieved, at the finest level, this accuracy is reduced to around 65%. Our experiments also show which classes are particularly hard to differentiate.

Land Cover/Land Use Classification of Urban Areas

1998 ◽  
Vol 12 (04) ◽  
pp. 475-489 ◽  
Author(s):  
Jukka Heikkonen ◽  
Aristide Varfis
Keyword(s):  
Land Use ◽  
Feature Extraction ◽  
Feature Selection ◽  
Land Cover ◽  
Urban Areas ◽  
Nearest Neighbor ◽  
Self Organizing Map ◽  
Land Use Classification ◽  
K Nearest Neighbor

This paper proposes a method for remote sensing based land cover/land use classification of urban areas. The method consists of the following four main stages: feature extraction, feature coding, feature selection and classification. In the feature extraction stage, statistical, textural and Gabor features are computed within local image windows of different sizes and orientations to provide a wide variety of potential features for the classification. Then the features are encoded and normalized by means of the Self-Organizing Map algorithm. For feature selection a CART (Classification and Regression Trees) based algorithm was developed to select a subset of features for each class within the classification scheme at hand. The selected subset of features is not attached to any specific classifier. Any classifier capable of representing possible skewed and multi-modal feature distributions can be employed, such as multi-layer perceptron (MLP) or k-nearest neighbor (k-NN). The paper reports experiments in land cover/land use classification with the Landsat TM and ERS-1 SAR images gathered over the city of Lisbon to show the potentials of the proposed method.

Speaker-Oriented Attitude Datives in Social Context

2018 ◽  
Author(s):  
Youssef A. Haddad
Keyword(s):  
Social Context ◽  
Shared Values ◽  
Social Functions ◽  
Rapport Management ◽  
The Social ◽  
Different Types ◽  
Levantine Arabic ◽  
Values And Beliefs ◽  
Social Acts

This chapter examines the social functions of speaker-oriented attitude datives in Levantine Arabic. It analyzes these datives as perspectivizers used by a speaker to instruct her hearer to view her as a form of authority in relation to him, to the content of her utterance, and to the activity they are both involved in. The nature of this authority depends on the sociocultural, situational, and co-textual context, including the speaker’s and hearer’s shared values and beliefs, their respective identities, and the social acts employed in interaction. The chapter analyzes specific instances of speaker-oriented attitude datives as used in different types of social acts (e.g., commands, complaints) and in different types of settings (e.g., family talk, gossip). It also examines how these datives interact with facework, politeness, and rapport management.

THE VALUE CHAIN OF COMPETENCY MODEL FOR VIETNAMESE EDUCATIONAL MANAGERS IN THE INDUSTRY 4.0 REVOLUTION ERA

2018 ◽  
Author(s):  
Le Thi My Hanh ◽  
Luis Alfaro ◽  
Tran Phuong Thao
Keyword(s):  
Value Chain ◽  
Industry 4.0 ◽  
Global Economy ◽  
Value Added ◽  
Chain Model ◽  
Individual Level ◽  
The Social ◽  
Comprehensive Development ◽  
Model Of Competency ◽  
Personal Competencies

This world is constantly changing and rapidly moving,-particular in the Industry 4.0 revolution, people must change to follow and keeping with this new trend. Education is the human foundation toward the “Truth - Good - Beautiful”, and comprehensive development of personal competencies as knowledge, skills and behaviors. A nation, such as Vietnam, if they want to integrate into global economy and affirming their position, they will need the “Talented - Virtuous” human resource who could meet the high demand of society. The purpose of this study was to propose a model of competency value chain at individual level for the educational managers, analyzing some factors of this value chain model and how to apply to Vietnamese education system in the fourth Industry era. The authors wanted to focus on the social value added that the educational managers’competency could bring as the result of this research.

Pro linhvistychni pokaznyky vzayemodiyi mova – kulʹtura na prykladi analizu polʹsʹko- ukrayinsʹkoho pohranychchya XV-XIXst.

2020 ◽  
pp. 129-148
Author(s):  
Halyna Маtsyuk
Keyword(s):  
Social Relations ◽  
Native Speakers ◽  
Historical Memory ◽  
Linguistic Knowledge ◽  
Social Functions ◽  
Subject Field ◽  
Theoretical Concepts ◽  
Language And Culture ◽  
The Social ◽  
Polish Language

The article is devoted to the formation of a linguistic interpretation of the interaction of language and culture of the Polish-Ukrainian border territories. The material for the analysis includes nomic systems of Ukrainian and Polish languages, which are considered as a cultural product of interpersonal and interethnic communication and an element of the language system, as well as invariant scientific theory created in the works of Polish onomastics (according to key theoretical concepts, tradition of analysis, and continuity in linguistic knowledge). The analysis performed in the article allows us to single out the linguistic indicators of the interaction of language and culture typical for the subject field of sociolinguistics. These are connections and concepts: language-territory, language-social strata, language-gender, language-ethnicity, social functions of the Polish language, and non-standardized spelling systems. Linguistic indicators reveal the peculiar mechanisms of the border in the historical memory and collective consciousness, marking the role of languages in these areas as a factor of space and cultural marker and bringing us closer to understanding the social relations of native speakers in the fifteenth-nineteenth centuries.

An Overview of the Social Functions of Gossip in the Hospitals

2016 ◽  
Author(s):  
Maryam Babaei Aghbolagh ◽  
Farzad Sattari Ardabili
Keyword(s):  
Social Functions ◽  
The Social

scholarly journals Development of Land Use Regression Model for Seasonal Variation of Nitrogen Dioxide (NO2) in Lahore, Pakistan

2021 ◽  
Vol 13 (9) ◽  
pp. 4933
Author(s):  
Saimar Pervez ◽  
Ryuta Maruyama ◽  
Ayesha Riaz ◽  
Satoshi Nakai
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Regression Model ◽  
Urban Areas ◽  
Industrial Development ◽  
Ambient Air ◽  
Ambient Air Pollution ◽  
Land Use Classification ◽  
Land Use Regression ◽  
Air Exposure

Ambient air pollution and its exposure has been a worldwide issue and can increase the possibility of health risks especially in urban areas of developing countries having the mixture of different air pollution sources. With the increase in population, industrial development and economic prosperity, air pollution is one of the biggest concerns in Pakistan after the occurrence of recent smog episodes. The purpose of this study was to develop a land use regression (LUR) model to provide a better understanding of air exposure and to depict the spatial patterns of air pollutants within the city. Land use regression model was developed for Lahore city, Pakistan using the average seasonal concentration of NO2 and considering 22 potential predictor variables including road network, land use classification and local specific variable. Adjusted explained variance of the LUR models was highest for post-monsoon (77%), followed by monsoon (71%) and was lowest for pre-monsoon (70%). This is the first study conducted in Pakistan to explore the applicability of LUR model and hence will offer the application in other cities. The results of this study would also provide help in promoting epidemiological research in future.

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