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Titlebook: GIS LATAM; First Conference, GI Miguel Felix Mata-Rivera,Roberto Zagal-Flores,Hugo Conference proceedings 2020 Springer Nature Switzerland

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發(fā)表于 2025-3-21 20:03:19 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱GIS LATAM
副標(biāo)題First Conference, GI
編輯Miguel Felix Mata-Rivera,Roberto Zagal-Flores,Hugo
視頻videohttp://file.papertrans.cn/381/380110/380110.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: GIS LATAM; First Conference, GI Miguel Felix Mata-Rivera,Roberto Zagal-Flores,Hugo Conference proceedings 2020 Springer Nature Switzerland
描述This book constitutes the refereed proceedings of the First?GIS LATAM Conference, GIS LATAM 2020, held in September 2020. Due to the COVID-19 pandemic the conference was held online.?.The 9 full papers and 2 short papers were thoroughly reviewed and selected from 29 submissions. The papers are focused on the?GIS applications in data analytics in spheres of health, environment, government, public, and education..?.
出版日期Conference proceedings 2020
關(guān)鍵詞artificial intelligence; communication channels (information theory); communication systems; computer n
版次1
doihttps://doi.org/10.1007/978-3-030-59872-3
isbn_softcover978-3-030-59871-6
isbn_ebook978-3-030-59872-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

書目名稱GIS LATAM影響因子(影響力)




書目名稱GIS LATAM影響因子(影響力)學(xué)科排名




書目名稱GIS LATAM網(wǎng)絡(luò)公開度




書目名稱GIS LATAM網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱GIS LATAM被引頻次




書目名稱GIS LATAM被引頻次學(xué)科排名




書目名稱GIS LATAM年度引用




書目名稱GIS LATAM年度引用學(xué)科排名




書目名稱GIS LATAM讀者反饋




書目名稱GIS LATAM讀者反饋學(xué)科排名




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Land Subsidence in Villahermosa Tabasco Mexico, Using Radar Interferometry,e population. This phenomenon is caused, among other factors, by the overexploitation of aquifers and the excessive extraction of hydrocarbons. The Synthetic Aperture Differential Radar Interferometry (DInSAR) technique has been used since the late 1990s to detect deformations on the ground, includi
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A Proposal for Semantic Integration of Crime Data in Mexico City,open data. However, other relevant data are not connected to them (e.g., socioeconomic data). Therefore, the socioeconomic and geographic data can help understand how the crime is characterized and what social indicators are related to it. In this research, we explore how data crime reports are desc
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Mapping Biogas from Municipal Waste as Potential Clean Energy Areas in Central Mexico, Using Geograe model to estimate biogas from solid waste was developed, combining two methodologies: Tchobanoglous and collaborators and the EPA-1996s equation. The first one uses urban solid waste composition to estimate biogas, while the later one converts biogas flow data into energy units (Mega-watts, MW). T
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