找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Geospatial Technologies for All; Selected Papers of t Ali Mansourian,Petter Pilesj?,Ron van Lammeren Conference proceedings 2018 Springer I

[復制鏈接]
21#
發(fā)表于 2025-3-25 03:58:33 | 只看該作者
Methodology of Energy Planning Process, with average sampling intervals between 1 and 120?s as input. For evaluating its runtime performance and matching quality, results are compared to results from the open-source map-matcher Barefoot. Results indicate better matching quality and runtime performance especially for sampling intervals from 1 to 15?s in offline and online mode.
22#
發(fā)表于 2025-3-25 08:49:01 | 只看該作者
23#
發(fā)表于 2025-3-25 14:38:05 | 只看該作者
Optimization and Evaluation of a High-Performance Open-Source Map-Matching Implementation with average sampling intervals between 1 and 120?s as input. For evaluating its runtime performance and matching quality, results are compared to results from the open-source map-matcher Barefoot. Results indicate better matching quality and runtime performance especially for sampling intervals from 1 to 15?s in offline and online mode.
24#
發(fā)表于 2025-3-25 16:11:43 | 只看該作者
Identifying and Interpreting Clusters of Persons with Similar Mobility Behaviour Change Processesvement trajectories and clustering participants based on the similarity of these behavioural adaptations. We further propose to use a decision tree classifier to semantically explain the derived clusters in a human-interpretable form. We apply our method to a real, longitudinal movement dataset.
25#
發(fā)表于 2025-3-25 23:32:48 | 只看該作者
26#
發(fā)表于 2025-3-26 04:04:29 | 只看該作者
Irene Hadiprayitno,Sine Ba?aturdimensions by volunteers and for the visualization of georeferenced images to assess the landscape variation through time. In this paper we evaluate the method and the georeferencer and give suggestions for further developments and exploitation of the database.
27#
發(fā)表于 2025-3-26 06:40:37 | 只看該作者
Gunter Bombaerts,Kirsten Jenkins,Wang Guoyuant explanatory factors for place representation at the urban scale. To some extent, this confirms the received knowledge of such data being created primarily by relatively wealthy, young, and educated users. However, about half of the variability is left unexplained, suggesting that a broader inclusion of potential factors is necessary.
28#
發(fā)表于 2025-3-26 12:21:32 | 只看該作者
29#
發(fā)表于 2025-3-26 15:12:46 | 只看該作者
30#
發(fā)表于 2025-3-26 18:01:19 | 只看該作者
Conference proceedings 2018 Information Systems (GIS) Centre, Sweden on 12–15 June 2018. It discusses the role of geospatial technologies in the digitalization of society and is intended primarily for professionals and researchers in fields that can benefit from geoinformation – both within and outside the area of geographic
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經(jīng)驗總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-6 17:34
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復 返回頂部 返回列表
改则县| 龙井市| 南江县| 乐东| 洛隆县| 峡江县| 博兴县| 卢湾区| 克什克腾旗| 青浦区| 织金县| 开原市| 奉节县| 青浦区| 连平县| 甘南县| 偃师市| 合作市| 吉水县| 永顺县| 景宁| 门头沟区| 柳州市| 大冶市| 略阳县| 肇州县| 和林格尔县| 温宿县| 锡林郭勒盟| 惠东县| 边坝县| 仪陇县| 泸水县| 米泉市| 中卫市| 泾川县| 斗六市| 旬阳县| 年辖:市辖区| 砀山县| 利川市|