Using Self-Organizing Maps to analyse spatial temporal diffusion of infectious diseases

Research output: Contribution to conference › Abstract › Other research output

Original language	English
Pages	1-4
Publication status	Published - 21 May 2015
Event	The 13th international conference on GeoComputation geospatial information sciences - Richardson, United States Duration: 20 May 2015 → 23 May 2015

Conference	The 13th international conference on GeoComputation geospatial information sciences
Country/Territory	United States
City	Richardson
Period	20/05/15 → 23/05/15

Keywords

This output contributes to the following UN Sustainable Development Goals (SDGs)

@conference{c1e0e0b319ce4447ad13b3bc3ec9aed2,

title = "Using Self-Organizing Maps to analyse spatial temporal diffusion of infectious diseases",

keywords = "METIS-311638",

author = "Petronella Augustijn-Beckers and R. Zurita-Milla and {van der Maas}, N..",

year = "2015",

month = may,

day = "21",

language = "English",

pages = "1--4",

note = "The 13th international conference on GeoComputation geospatial information sciences ; Conference date: 20-05-2015 Through 23-05-2015",

}

Using Self-Organizing Maps to analyse spatial temporal diffusion of infectious diseases. / Augustijn-Beckers, Petronella ; Zurita-Milla, R.; van der Maas, N..
2015. 1-4 Abstract from The 13th international conference on GeoComputation geospatial information sciences, Richardson, Texas, United States.

Research output: Contribution to conference › Abstract › Other research output

TY - CONF

T1 - Using Self-Organizing Maps to analyse spatial temporal diffusion of infectious diseases

AU - Augustijn-Beckers, Petronella

AU - Zurita-Milla, R.

AU - van der Maas, N..

PY - 2015/5/21

Y1 - 2015/5/21

KW - METIS-311638

M3 - Abstract

SP - 1

EP - 4

T2 - The 13th international conference on GeoComputation geospatial information sciences

Y2 - 20 May 2015 through 23 May 2015

ER -