Traditional and Nontraditional Collaborations to Improve Population Health Using Geospatial Information System Maps: Analysis of the Opioid Crisis

2019 ◽  
Vol 33 (3) ◽  
pp. 309-322 ◽  
Author(s):  
Donna Hallas ◽  
Robin Toft Klar ◽  
Julie A. Baldyga ◽  
Ilene Rattner ◽  
Ryan Waingortin ◽  
...  
2019 ◽  
Vol 5 (3) ◽  
pp. 26-29
Author(s):  
Michael Willis ◽  
Cheryl Neslusan ◽  
Silas Martin ◽  
Pierre Johansen ◽  
Christian Asseburg ◽  
...  

2013 ◽  
Vol 49 (1) ◽  
pp. 124-132 ◽  
Author(s):  
A. Yu. Shelestov ◽  
A. N. Kravchenko ◽  
S. V. Skakun ◽  
S. V. Voloshin ◽  
N. N. Kussul

2015 ◽  
Vol 77 (24) ◽  
Author(s):  
Nur Shuhada Tajudin ◽  
Mohamed Hanafi Musa ◽  
Idris Abu Seman ◽  
Sivakumar Balasundram

Oil palm (Elaeis guineensis) is an important economic tree crops in the tropic. However, more than 95 % of oil palms grown in Southeast Asia are on acid, low fertility and highly weathered soils. Optimum value of micronutrients in the soil was required to enhance the efficiency of use of macro-nutrients. Hence, to observe and predict the fertility status of the oil palm plantation area, a 12 hectare study site was used and a total of 60 geo-referenced soil and leaf samples were collected for determinations of pH and selected micronutrients of Cu and Zn content. The data were explored and mapped using geostatistic and Geographic Information System (GIS). The study area had acidic type of soil with pH ranged from 3.25-5.85. The analysis showed that almost 78% of the study area had high content of Cu in soil, while another 22% of area was low to moderate in Cu. However, Cu content in leaf were categorized as insufficient as 100% of the area was observed to have Cu less than 3 ppm. About 80% of the study area showed a low to moderate content of Zn in soil, while another 20% of area showed a high content of Zn. Zinc content in leaf ranged from optimum to high categories. However, this value did not reach the excess level of Zn (50 ppm). These results suggest that, this plantation area need a site specific management approach in order to increase its crop productivity in regards to nutrient management. As a preliminary recommendation, a zone management practice would be applied in future as it is beneficial in term of protecting the environment from excessive fertilizer.


2020 ◽  
Vol 28 (2) ◽  
pp. 36-42
Author(s):  
Hossein Hariri Asli ◽  
Mahyar Arabani ◽  
Yaser Golpour

AbstractA Geospatial Information System (GIS) is a system designed to capture, store, manipulate, analyze, manage, and present spatial or geospatial data. Reclaimed Asphalt Pavement (RAP) based on the GIS is one of the indirect and efficient methods in identifying areas. In this work, an analytical computational process combined with a spatial analysis was used to identify pavement zones for a city. The zoning results were categorized in four classes, including very high, high, medium risk, and low risk zones. The high and very high risk zones have been considered as a whole. The work circumstances include the Mean Profile Depth (MPD) data as a function of the number of wheel passes and the temperature; ten (10) specimens were selected from a set of 23 specimens. The results showed a good correlation between the parameters, including the number of wheels passing, the temperature, and the MPD.


Author(s):  
Sudip Pradhan ◽  
Birendra Bajracharya ◽  
Kiran Shakya ◽  
Bikram Shakya

AbstractOver the last few decades, the development of geospatial technologies has converged with a variety of formal information technology disciplines (Zwartjes in Eur J Geogr 9(4):138–151, 2018; Jackson and Schell in Directions Magazine, 2009). The rapidly growing location-based services seamlessly integrate data and technologies from Earth observation (EO), Geographic Information System (GIS), Geographic Position System (GPS), and wireless and mobile communications (Huang et al. in J Location Based Servi 12(2):63–93, 2018).


2016 ◽  
Vol 35 (11) ◽  
pp. 2109-2115 ◽  
Author(s):  
Taressa Fraze ◽  
Valerie A. Lewis ◽  
Hector P. Rodriguez ◽  
Elliott S. Fisher

2018 ◽  
Vol 10 ◽  
pp. 292-298
Author(s):  
Diana Romero ◽  
Sandra E. Echeverria ◽  
Madeline Duffy ◽  
Lynn Roberts ◽  
Alexis Pozen

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