A Guide to Predicting Spatial Distribution of Weed Emergence Using Geographic Information Systems (GIS)

2004 ◽  
Vol 1 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Christopher L. Main ◽  
Darren K. Robinson ◽  
J. Scott McElroy ◽  
Thomas C. Mueller ◽  
John B. Wilkerson
Keyword(s):  
Spatial Distribution ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Weed Emergence

scholarly journals Using a Native XML Database for Encoded Archival Description Search and Retrieval

2017 ◽  
Vol 23 (4) ◽  
pp. 181-184 ◽  
Author(s):  
Alan Cornish
Keyword(s):  
Spatial Distribution ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Analytical Tool ◽  
Archival Description ◽  
Gis Technology ◽  
Xml Database ◽  
Human Eyes ◽  
Search And Retrieval

This article is an attempt to develop Geographic Information Systems (GIS) technology into an analytical tool for examining the relationships between the height of the bookshelves and the behavior of library readers in utilizing books within a library. The tool would contain a database to store book-use information and some GIS maps to represent bookshelves. Upon analyzing the data stored in the database, different frequencies of book use across bookshelf layers are displayed on the maps. The tool would provide a wonderful means of visualization through which analysts can quickly realize the spatial distribution of books used in a library. This article reveals that readers tend to pull books out of the bookshelf layers that are easily reachable by human eyes and hands, and thus opens some issues for librarians to reconsider the management of library collections.

scholarly journals Spatial distribution of dengue in Honduras during 2016–2019 using a geographic information systems (GIS)–Dengue epidemic implications for public health and travel medicine

2019 ◽  
Vol 32 ◽  
pp. 101517 ◽  
Author(s):  
Lysien I. Zambrano ◽  
Edith Rodriguez ◽  
Iván Alfonso Espinoza-Salvado ◽  
Itzel Carolina Fuentes-Barahona ◽  
Tales Lyra de Oliveira ◽  
...  
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Travel Medicine ◽  
Geographic Information ◽  
Dengue Epidemic

scholarly journals Spatial Distribution and Implementation of the K-Means Clustering Method at Hotspots in North Sumatra

2021 ◽  
Vol 1 (1) ◽  
pp. 1-6
Author(s):  
Kartika Dewi Butar-Butar ◽  
Elviawaty Muisa Zamzami ◽  
Nancy Damanik ◽  
Alex Rikki ◽  
Eva Darlina
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Clustering Method ◽  
High Confidence ◽  
Confidence Levels ◽  
June July ◽  
North Sumatra

Hotspots are indicators of forest and land fires. Hotspot monitoring can be carried out with the help of remote sensing tools and geographic information systems. Hotspot data is obtained from the MODIS sensors from the TERRA and AQUA satellites which contain information on latitude and longitude coordinates and the level of confidence divided by three levels, namely low, medium and high confidence levels. Based on the spatial results, the number of hotspots in North Sumatra Regency is in February, March, June, July, and August. Districts that are dominant with hotspots are Karo Regency, Labuhan Batu Regency, Mandailing Natal Regency, Padang Lawas Regency and South Tapanuli Regency. Based on the results, the process of applying the k-means clustering method to the weka application, the data obtained is in the form of a clustered group and the results can be made into indicators in determining hotspots in districts in North Sumatra province per month.

scholarly journals Using GIS to Measure In-Library Book-Use Behavior

2017 ◽  
Vol 23 (4) ◽  
pp. 184-191 ◽  
Author(s):  
Jingfeng Xia
Keyword(s):  
Spatial Distribution ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Geographic Information ◽  
Analytical Tool ◽  
Library Book ◽  
Use Behavior ◽  
Human Eyes ◽  
Library Collections

This article is an attempt to develop Geographic Information Systems (GIS) techology into an analytical tool for examining the relationships between the height of the bookshelves and the behavior of library readers in utilizing books within a library. The tool would contain a database to store book-use information and some GIS maps to represent bookshelves. Upon analyzing the data stored in the database, different frequencies of book use across bookshelf layers are displayed on the maps. The tool would provide a wonderful means of visualization through which analysts can quickly realize the spatial distribution of books used in a library. This article reveals that readers tend to pull books out of the bookshelf layers that are easily reachable by human eyes and hands, and thus opens some issues for librarians to reconsider the management of library collections.

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