The Rapid Development of Settlements in Flood-Prone Areas in Peri-Urban Ulaanbaatar, Mongolia: Monitoring and Spatial Analysis Using VHR Satellite Imageries

2016 ◽  
pp. 137-148 ◽  
Author(s):  
Izuru Saizen ◽  
Narumasa Tsutsumida
Keyword(s):  
Spatial Analysis ◽  
Rapid Development ◽  
Flood Prone Areas

scholarly journals Local and Regional Spatial Analysis of Plant Virus Disease Epidemics with Geographic Information Systems (GIS) and Geostatistics

1998 ◽  
Vol 3 (1) ◽  
pp. 85
Author(s):  
M. R. Nelson ◽  
T. V. Orum
Keyword(s):  
Spatial Analysis ◽  
Plant Virus ◽  
Virus Disease ◽  
Rapid Development ◽  
Plant Diseases ◽  
Computer Hardware ◽  
Virus Diseases ◽  
Agricultural Enterprises ◽  
Disease Epidemics ◽  
User Friendly

Recent advances in personal computer hardware and the rapid development of spatial analysis software that is user-friendly on PC's has provided remarkable new tools for the analysts of plant diseases, particularly ecologically complex virus diseases. Due to the complexity of the disease cycle of the animal-vectored plant virus, these diseases present the most interesting challenges for the application of spatial analysis technology. While traditional quantitative analysis of plant diseases concentrated on within-field spatial analysis, often involving rather arcane mathematical descriptions of pattern, the new spatial analysis tools are most useful at the dimension where many disease epidemics occur, the regional level. The output of many of the programs used in spatial analysis is a highly visual picture of a disease epidemic which has a strong intuitive appeal to managers of agricultural enterprises. Applications by us, thus far, have included tomato, pepper and cotton virus diseases in Arizona. Mexico, California and Pakistan. In addition, this technology has been applied by us to Phytophthora infestans in potato and tomato. Aspergillus flavus in cotton, and regional insect problems of tomato and cotton.

scholarly journals A GIS methodology to support sea water quality assessment in coastal areas

2018 ◽  
Vol 20 (1) ◽  
pp. 122-127 ◽  
Keyword(s):  
Water Quality ◽  
Statistical Analysis ◽  
Spatial Analysis ◽  
Sea Water ◽  
Rapid Development ◽  
Coastal Areas ◽  
Geographical Information ◽  
Multivariate Techniques ◽  
Analysis Methods ◽  
Wide Range

The development of methodologies for assessing water quality in coastal areas including mapping of eutrophication levels is a research area of high interest. A wide range of methodological approaches can be found in the literature, including multivariate techniques, since marine eutrophication is a multi-parametric phenomenon. In this context, statistical analysis and in particular Principal Component Analysis (PCA) have been widely applied. However, no attempt has been presented so far for mapping eutrophication levels based on information acquired from PCA results in integration with spatial analysis methods. The rapid development of Geographical Information Systems provides the appropriate framework for the development and application of methodologies integrating statistical analysis, spatial analysis methods and mapping techniques. This paper proposes such a methodological approach for assessing sea water quality in coastal areas. The methodology is clearly described and the Strait of Mytilene at the east of the Island of Lesvos in the NE Aegean Sea, Greece is used as a case study.

scholarly journals High-Performance Geospatial Big Data Processing System Based on MapReduce

2018 ◽  
Vol 7 (10) ◽  
pp. 399 ◽  
Author(s):  
Junghee Jo ◽  
Kang-Woo Lee
Keyword(s):  
Big Data ◽  
Spatial Analysis ◽  
Data Processing ◽  
Spatial Data ◽  
High Performance ◽  
Rapid Development ◽  
Processing System ◽  
Data Processing System ◽  
Seamless Integration ◽  
Big Data Processing

With the rapid development of Internet of Things (IoT) technologies, the increasing volume and diversity of sources of geospatial big data have created challenges in storing, managing, and processing data. In addition to the general characteristics of big data, the unique properties of spatial data make the handling of geospatial big data even more complicated. To facilitate users implementing geospatial big data applications in a MapReduce framework, several big data processing systems have extended the original Hadoop to support spatial properties. Most of those platforms, however, have included spatial functionalities by embedding them as a form of plug-in. Although offering a convenient way to add new features to an existing system, the plug-in has several limitations. In particular, while executing spatial and nonspatial operations by alternating between the existing system and the plug-in, additional read and write overheads have to be added to the workflow, significantly reducing performance efficiency. To address this issue, we have developed Marmot, a high-performance, geospatial big data processing system based on MapReduce. Marmot extends Hadoop at a low level to support seamless integration between spatial and nonspatial operations of a solid framework, allowing improved performance of geoprocessing workflow. This paper explains the overall architecture and data model of Marmot as well as the main algorithm for automatic construction of MapReduce jobs from a given spatial analysis task. To illustrate how Marmot transforms a sequence of operators for spatial analysis to map and reduce functions in a way to achieve better performance, this paper presents an example of spatial analysis retrieving the number of subway stations per city in Korea. This paper also experimentally demonstrates that Marmot generally outperforms SpatialHadoop, one of the top plug-in based spatial big data frameworks, particularly in dealing with complex and time-intensive queries involving spatial index.

scholarly journals Spatial analysis of flood-prone areas and flood discharge

2021 ◽  
Vol 681 (1) ◽  
pp. 012075
Author(s):  
S. Marwah ◽  
L Alwi ◽  
Astriwana ◽  
Akmal ◽  
B Baharuddin
Keyword(s):  
Spatial Analysis ◽  
Flood Discharge ◽  
Flood Prone Areas

scholarly journals Role of Spatial Analysis in Avoiding Climate Change Maladaptation: A Systematic Review

2021 ◽  
Vol 13 (6) ◽  
pp. 3450
Author(s):  
Chia-Fa Chi ◽  
Shiau-Yun Lu ◽  
Willow Hallgren ◽  
Daniel Ware ◽  
Rodger Tomlinson
Keyword(s):  
Climate Change ◽  
Systematic Review ◽  
Spatial Analysis ◽  
Climate Change Adaptation ◽  
Rapid Development ◽  
Experimental Studies ◽  
Adaptation Planning ◽  
Theoretical Frameworks ◽  
Change Analysis ◽  
Research Attention

With the rapid development of climate change adaptation over recent decades, a considerable amount of evidence has been collected on maladaptation associated with climate change adaptation initiatives, particularly in terms of risk transfer and risk substitution. Increasing our understanding of maladaptation is important for avoiding negative outcomes of adaptation project implementation. However, maladaptation has received limited research attention. Previous research has focused on frameworks that can assist in defining and avoiding maladaptive risk and be applied to adaptation initiative planning processes. Adaptation may cause more significant influences on spatial land change than the direct effect of climate change does. Identifying the adaptation consequences that are likely to result in maladaptation is crucial. A combination of spatial land analysis and climate change analysis can be used for the aforementioned identification. However, empirical case studies on methods that can assess and evaluate the risk of maladaptation by integrating spatial and temporal aspects in a land spatial modeling tool have not been conducted. The present study aimed to fill this research gap by exploring the existing knowledge on maladaptation to climate change. We examined the interaction among spatial analysis, evaluated maladaptation frameworks, and project design to extend our conceptual understanding on maladaptation to climate change. We adopted a systematic review method that involved considering several questions including the following: (a) What are the definitions and categories of maladaptation? (b) What methods and theoretical frameworks exist for the assessment and evaluation of maladaptive risk? (c) How have climate-related research communities considered issues of maladaptation? (d) What are the experimental studies on land use change that can be referred to for minimizing maladaptive risks in future adaptation planning? In conclusion, further research on maladaptation should integrate spatial land analysis methods to facilitate the identification and avoidance of maladaptive risk in the initial stage of adaptation planning.

scholarly journals PENINGKATAN PENGETAHUAN MASYARAKAT TERHADAP DRAINASE BERPORUS YANG DIFUNGSIKAN SEBAGAI TEMPAT PERESAPAN AIR HUJAN

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Dian Pratiwi ◽  
Ria Oktaviani Sinia ◽  
Arniza Fitri
Keyword(s):  
Large Volume ◽  
Rainy Season ◽  
Rapid Development ◽  
Flood Management ◽  
Flash Floods ◽  
Public Knowledge ◽  
Residential Areas ◽  
Flood Prevention ◽  
The People ◽  
Flood Prone Areas

The rapid development in Bandar Lampung resulted in the expansion of residential areas and the reduction of green areas as water-retribuid areas. Flash floods have become a common problem in Bandar Lampung during the rainy season since several decade. To reduce the problem of flash floods that are being faced by the people of Bandar Lampung, especially at RT. 005, Jagabaya II Village, Way Halim district, Bandar Lampung city during the rainy season, a PKM team from Universitas Teknokrat Indonesia has socialized about porous drainage. Porous drainage is one of the environmentally friendly drainage methods that is also functioned as a rainwater retention. In addition, the PKM team also trained the people of Jagabaya II Village, Way Halim district in assembling and installing of the porous drainage as an effort to make them as a pilot community that contributes to flood prevention occurred in Bandar Lampung city. Within three days, eight retention points of porous drainage have been installed in flood-prone areas in Jagabaya's II Village. The activities of increasing public knowledge about porous drainage are well done while the people of Jagabaya II Village look enthusiastic and wish more counseling activities to be continued with other topics related to drainage and flood management. Besides, the leader and people of Jagabaya II Village expect ongoing activities such as maximizing the retention points of porous drainage because eight points has not been enough to reduce large volume of flooding in their environment. The community wish that by installing more retention points of porous drainage, it will be able to reduce large volume of flooding that often occurs in their environment, especially during heavy rains. Keywords: Socialization, porous drainage, infiltration rainwater, flood

scholarly journals A Three-Dimensional Buffer Analysis Method Based on the 3D Discrete Global Grid System

2021 ◽  
Vol 10 (8) ◽  
pp. 520
Author(s):  
Jinxin Wang ◽  
Yan Shi ◽  
Zilong Qin ◽  
Yihang Chen ◽  
Zening Cao
Keyword(s):  
Spatial Analysis ◽  
Rapid Development ◽  
Three Dimensional ◽  
Geographic Information ◽  
Grid System ◽  
Analysis Method ◽  
Buffer Analysis ◽  
Geographic Object ◽  
Basic Functions ◽  
Global Grid

Three-dimensional (3D) buffer analysis is among the basic functions of 3D spatial analysis, and it plays an important role in 3D geographic information systems. The rapid development of the 3D Discrete Global Grid System (DGGS) provides a new method for the 3D spatial analysis of geographic information. According to the spatial topology characteristics of the 3D DGGS and the concept of dimensionality reduction, a 3D buffer analysis method based on the spatial grid of the Earth system is proposed to solve the problem of the buffer algorithm of a space object being unsatisfactory at present. In this paper, we present a method to calculate the distance between cells based on the side length of the spherical grids according to the geometric characteristics of the grids. For the grids of a geographic object, we describe the Euclidean distance expansion algorithm and the radial elevation expansion algorithm that helped us to obtain its 3D buffer. Finally, in terms of algorithm complexity and visualization effect, compared with the traditional raster buffer algorithm, the method presented in this paper has lower complexity, an improved visualization effect, and stronger generality.

A new tool for rapid development of electron microscopy negatives and micrographs: Initial impressions of the MOHR/PRO-8 processor

1992 ◽  
Vol 50 (2) ◽  
pp. 972-973
Author(s):  
James C. Long
Keyword(s):  
Electron Microscopy ◽  
Processing Time ◽  
Rapid Development ◽  
Processing Times ◽  
Initial Impressions ◽  
Transport Method

Over the years, many techniques and products have been developed to reduce the amount of time spent in a darkroom processing electron microscopy negatives and micrographs. One of the latest tools, effective in this effort, is the Mohr/Pro-8 film and rc paper processor.At the time of writing, a unit has been recently installed in the photographic facilities of the Electron Microscopy Center at Texas A&M University. It is being evaluated for use with TEM sheet film, SEM sheet film, 35mm roll film (B&W), and rc paper.Originally designed for use in the phototypesetting industry, this processor has only recently been introduced to the field of electron microscopy.The unit is a tabletop model, approximately 1.5 × 1.5 × 2.0 ft, and uses a roller transport method of processing. It has an adjustable processing time of 2 to 6.5 minutes, dry-to-dry. The installed unit has an extended processing switch, enabling processing times of 8 to 14 minutes to be selected.

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