Proceedings of the ICA最新文献_第8页

The digital cartographic reconstruction of the 1897 ‘Mátra Guide’ (Hungary) 1897年“Mátra指南”的数字地图重建(匈牙利)

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-42-2021

Edina Hajdú, Márton Pál

{"title":"The digital cartographic reconstruction of the 1897 ‘Mátra Guide’ (Hungary)","authors":"Edina Hajdú, Márton Pál","doi":"10.5194/ica-proc-4-42-2021","DOIUrl":"https://doi.org/10.5194/ica-proc-4-42-2021","url":null,"abstract":"Abstract. The Mátra Mts has been one of the most frequented tourist destinations since the second half of the 19th century. This area – the highest mountain range in Hungary – offers a wide variety of free-time activities, geographical and cultural values. Because of these attractions, the tourism importance of the Mátra Mts has been recognised relatively early. The first tourist association was established in 1877 by Kolos Hanák and István Széky. They published the ‘Mátra Guide’ in the same year and reissued it in 1897 with minor revisions. This publication presents the natural-cultural values and the tourism infrastructure of the surrounding area. They also describe interesting hiking routes all around the Mátra. Although the most important sights were illustrated, no cartographic representation was published. In this study we processed the content of the book: every localizable site and tourism facility were visualised applying GIS techniques. A base map of relief, watercourses, road network and settlements were edited using the 2nd military survey topographic maps of Habsburg Empire (to present former conditions), the 1933 ‘Mátra’ hiking map and hillshading (generated from SRTM). The digitized tourism elements from the book were visualised on this ‘historical hiking map’ using Leaflet. As the final online map is available to everybody, the early condition and infrastructure of tourism can be easily examined. This work contributes to the visual heritage preservation of the Mátra Mts: it may strengthen the knowledge on tourism history and digital cartographic solutions.\u0000","PeriodicalId":233935,"journal":{"name":"Proceedings of the ICA","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130231768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Landslide susceptibility evaluation based on optimized support vector machine 基于优化支持向量机的滑坡易感性评价

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-67-2021

Jiping Liu, Rongfu Lin, Shenghua Xu, Yong Wang, Xianghong Che, Jie Chen

{"title":"Landslide susceptibility evaluation based on optimized support vector machine","authors":"Jiping Liu, Rongfu Lin, Shenghua Xu, Yong Wang, Xianghong Che, Jie Chen","doi":"10.5194/ica-proc-4-67-2021","DOIUrl":"https://doi.org/10.5194/ica-proc-4-67-2021","url":null,"abstract":"Abstract. Landslide is a natural disaster that has caused great property losses and human casualties in the world. To strengthen the target prevention and management level, ZhaShui county, Shaanxi province, is selected as the research area to evaluate the landslide susceptibility. First of all, under the premise of considering the correlation, 10 evaluation factors closely related to landslide disaster (i.e., elevation, rainfall, rock group, slope, slope aspect, vegetation index, landform, distance to residential area, distance to road, distance to river system) are taken together with non-landslide points, which are selected under multi-constraint conditions to form a sample data-set. Secondly, the sample dataset is substituted into the Support Vector Machine (SVM) model optimized by firefly algorithm for training and prediction. Finally, the result map was partitioned according to the natural discontinuous point method, and the landslide susceptibility map was obtained. The results show that the model optimized by the firefly algorithm has higher accuracy, and the landslide susceptibility results are more consistent with the actual distribution of disaster points.\u0000","PeriodicalId":233935,"journal":{"name":"Proceedings of the ICA","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127828620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Updating of digital topographic maps in the new national spatial coordinate system: case Fergana valley in Uzbekistan 新国家空间坐标系下数字地形图的更新:乌兹别克斯坦费尔干纳河谷案例

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-31-2021

D. Fazilova, Hasan Magdiev

引用次数: 0

The Automated Map. Public innovation for the generation of the National Topographic Map of Spain 自动地图。公共创新生成西班牙国家地形图

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-87-2021

Adolfo Pérez, Felisa Quesada, Alicia M. Gonzalez, Alfonso Boluda, Ana Maldonado, José Alfonso de Tomás, María de la Paz Navas, Santiago Prieto

引用次数: 0

A spatial Analysis of Crime and Neighborhood Characteristics in Detroit Census Block Groups 底特律人口普查街区群体犯罪与邻里特征的空间分析

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-5-2021

Esther Akoto Amoako

{"title":"A spatial Analysis of Crime and Neighborhood Characteristics in Detroit Census Block Groups","authors":"Esther Akoto Amoako","doi":"10.5194/ica-proc-4-5-2021","DOIUrl":"https://doi.org/10.5194/ica-proc-4-5-2021","url":null,"abstract":"Abstract. Crime has an inherent geographical quality and when a crime occurs, it happens within a particular space making spatiality essential component in crime studies. To prevent and respond to crimes, it is first essential to identify the factors that trigger crimes and then design policy and strategy based on each factor. This project investigates the spatial dimension of violent crime rates in the city of Detroit for 2019. Crime data were obtained from the City of Detroit Data Portal and demographic data relating to social disorganization theory were obtained from the Census Bureau. In the presence of spatial spill over and spatial dependence, the assumptions of classical statistics are violated, and Ordinary Least Squares estimations are inefficient in explaining spatial dimensions of crime. This paper uses explanatory variables relating to the social disorganization theory of crime and spatial autoregressive models to determine the predictors of violent crime in the City for the period. Using GeoDa 1.18 and ArcGIS Desktop 10.7.1 software package, Spatial Lag Models (SLM) and Spatial Error Models were carried out to determine which model has high performance in identifying predictors of violent crime. SLM outperformed SEM in terms of efficiency with (AIC:5268.52; Breusch-Pagan test: 9.8402; R2: 16% & Log Likelihood: −2627.26) > SEM (AIC: 5275.24; Breusch-Pagan test: 9.7601; R2: 15% & Log Likelihood: −2630.6194). Strong support is found for the spatial disorganization theory of crime. High percent ethnic heterogeneity (% black) and high college graduates are the strongest predictors of violent crime in the study area.\u0000","PeriodicalId":233935,"journal":{"name":"Proceedings of the ICA","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122442166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Conic Projections with Three or More Standard Parallels 具有三个或更多标准平行线的圆锥投影

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-64-2021

Miljenko Lapaine

引用次数: 2

A generations view on SDG – using the central role of maps 一代人对可持续发展目标的看法——利用地图的核心作用

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-48-2021

M. Jobst, G. Gartner

引用次数: 0

Climate and Vine – Representation and communication of spatio-temporal relationships in the web application AustrianVineyards.com 气候和葡萄树——在web应用程序奥地利葡萄园网中时空关系的表现和交流

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-113-2021

Dominik Wieser, K. Kriz

引用次数: 2

Determining traffic congestion utilizing a fuzzy logic model and Floating Car Data (FCD) 基于模糊逻辑模型和浮动车数据的交通拥堵判断

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-55-2021

Maja Kalinić, J. Krisp

{"title":"Determining traffic congestion utilizing a fuzzy logic model and Floating Car Data (FCD)","authors":"Maja Kalinić, J. Krisp","doi":"10.5194/ica-proc-4-55-2021","DOIUrl":"https://doi.org/10.5194/ica-proc-4-55-2021","url":null,"abstract":"Abstract. Traffic congestion is a dynamic spatial and temporal process and as such might not be possible to model with linear functions of various dependent variables. That leaves a lot of space for non-linear approximates, such as neutral networks and fuzzy logic. In this paper, the focus is on the fuzzy logic as a possible approach for dealing with the problems of measuring traffic congestion. We investigate the application of this framework on a selected case study, and use floating car data (FCD) collected in Augsburg, Germany. A fuzzy inference system is built to detect degrees of congestion on a federal highway B17. With FCD, it is possible to obtain local speed information on almost all parts of the network. This information, together with collected vehicle location, time and heading, can be further processed and transformed into valuable information in the form of trip routes, travel times, etc. Initial results are compared with traditional method of expressing levels of congestion on a road network e.g. Level of Service – LOS. The fuzzy model, with segmented mean speed and travel time parameters, performed well and showed to be promising approach to detect traffic congestions. This approach can be further improved by involving more input parameters, such as density or vehicle flow, which might reflect traffic congestion event even more realistically.\u0000","PeriodicalId":233935,"journal":{"name":"Proceedings of the ICA","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123573913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A social media-based framework for tourist behaviour analysis and characterization in urban environments 基于社会媒体的城市环境中游客行为分析和表征框架

Proceedings of the ICA Pub Date : 2021-12-03 DOI: 10.5194/ica-proc-4-90-2021

F. Porras-Bernardez, G. Gartner

{"title":"A social media-based framework for tourist behaviour analysis and characterization in urban environments","authors":"F. Porras-Bernardez, G. Gartner","doi":"10.5194/ica-proc-4-90-2021","DOIUrl":"https://doi.org/10.5194/ica-proc-4-90-2021","url":null,"abstract":"Abstract. Tourism is a very important and fast growing industry worldwide that has generated 25% of all global net new jobs during the last 5 years. New tools can be valuable for relaunching the sector and provide alternative analysis and segmentation capabilities to organizations involved. We present an analysis and visualization framework for tourist behaviour study and segmentation based on tested methods and technologies, combined and extended in an innovative way. Our framework uses Flickr data as input and classifies users according to country of origin. Then, urban distribution patterns are obtained in two different spatial levels by using [Network] Kernel Density Estimation in 1D and 2D spaces, as well as spatial clustering with HDBSCAN. Basic Natural Language Processing is applied to extract and visualize semantics generated in the social media platform and a visualization of typologies of Points of Interest by nationality is proposed for the development of tourism dashboards. We have applied our framework to three European cities of different size to test the segmentation capabilities of the approach. Results suggest a good potential for tourism management in urban environments.\u0000","PeriodicalId":233935,"journal":{"name":"Proceedings of the ICA","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123962306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0