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Frequencies
Frequencies
The HE corpus contains 17,736 occurrences of the concept disaster risk reduction. Disaster risk reduction and the abbreviation DRR are the two variants included in the total count.
Distribution by Region
Distribution by Region
Distribution by Organisation Type, Document Type, Region and Year
Distribution by Organisation Type, Document Type, Region and Year
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Refresh the website if the graphics are not shownDisaster risk reduction occurs mostly in documents published in Asia, followed by Europe, North America, Africa and Oceania. Overall, the top five contributors in terms of occurrences are IGO, NGO, Net, RC and State organisations.
IGO documents provide the greatest number of occurrences, primarily from activity reports published in Europe. Occurrences from NGO, Net and State were mostly obtained from activity reports published in Asia.
RC documents mostly generated occurrences in general documents published in Europe.
Definitions
Definitions
Summary of Definitional Elements
Summary of Definitional Elements
Abstracted from definitions and related concepts. Please scroll down for more details.
Definitional Contexts
Definitional Contexts
Related Concepts
Related Concepts
Frequent Collocations
Frequent Collocations
Frequent words that accompany a term are known as collocates. A given term and its collocates form collocations. These can be extracted automatically based on statistics and curated manually to explore interactions with concepts.
Comparisons over time between organisation types with the greatest number of hits (IGO, NGO, Net, RC and State organisations) may prove to be meaningful. Below is an histogram for the top yearly collocation for each of the five organisations with the greatest contribution as well as across all organisation types.
Collocates Over Time
Collocates Over Time
Collocational data for disaster risk reduction was found to be scarce. Across all 5 organisation types analysed, only 7 top collocates were obtained:
CCA (Climate change adaption)
DRR (Abbreviation for disaster risk reduction)
integrate;
emergency;
national;
strategy; and
CBDRR (Community Based Disaster Risk Reduction )
IGO documents generated CCA as top collocate in 2011.
NGO documents generated CCA as top collocate in 2017 with the highest overall score. Other top NGO collocates include CBDRR and Sendai (Sendai Framework for Disaster Risk Reduction).
Net documents generated CCA as top collocate in 2012, obtaining the highest overall score.
RC documents generated CCA as top collocate for 2016.
State documents generated Sendai (Sendai Framework for DisasterRiskReduction ) as top collocate for 2015.
Unique Collocates by Organisation Type
Unique Collocates by Organisation Type
Organisation subcorpora present unique and shared collocations with other organisation types. Unique collocations allow to discover what a particular organisation type says about disaster risk reduction that others do not.
IGO documents feature the following top ten unique collocates:
gender-sensitive
coherence
recognition
endorse
legislation
sub-regional
accessible
feature
SRSG ( Special Representative of the UN Secretary-General)
negotiate
NGO documents feature the following top ten unique collocates:
health-post
booklet
mercy
child-led
CMDRR (Community Managed Disaster Risk Reduction)
ADRRN (Asian Disaster Reduction and Response Network)
malaysia
AADRR (Alliance for Adaptation and Disaster Risk Reduction)
KAP (Knowledge Attitude and Practices )
CBDRM (Community Based Disaster Risk Management )
Net documents feature the following top ten unique collocates:
ADRC (Asian Disaster Reduction Centre)
GFDRR (Global Facility for Disaster Risk Reduction )
ACP-EU (Africa, Caribbean and Pacific-European Union)
fight
NDRR (Natural Disaster Risk Reduction)
economics
APEC ( Asia-Pacific Economic Cooperation)
civil-military
obligate
prioritization
RC documents feature the following top ten unique collocates:
IFRC (International Federation of Red Cross and Red Crescent Societies)
CBHFA (Community Based Health and First Aid Project)
climate-change
DPRK (Democratic People's Republic of Korea)
MRCS (Myanmar Red Cross Society)
sensitization
SBDRR (Schoolbased Disaster Risk Reduction )
CBA (community-based adaptation )
EPR (Emergency Preparedness and Response)
State documents feature the following top ten unique collocates:
wing
NDMA (National Disaster Management Authority )
NDMC ( National Disaster Management Commission )
directorate
SADC (Southern African Development Community )
EAD (Economic Affairs Division)
NDMP (National Disaster Management Plan)
multi-hazard
prior
stand-alone
Shared Collocates by Organisation Type
Shared Collocates by Organisation Type
Shared collocations allow to discover matching elements with organisations who discuss disaster risk reduction. These constitute intersections between subcorpora.
Top collocates shared by 2 organisation types are:
toolkit (State + NGO)
GAR (Global Assessment Report on Disaster Risk Reduction)(Net+ IGO)
incorporation (Net+ IGO)
ADPC (Asian Disaster Preparedness Centre)(RC+ IGO)
allocation (Net+ IGO)
integral (NGO + IGO)
linkage (NGO + IGO)
post-disaster (State + Net)
EWS (Early Warning System) (State+ RC)
adaptation (State+ NGO)
Top collocates shared by 3 organisation types are:
CBDRR (community based disaster risk reduction) (RC + NGO + IGO)
terminology (NGO + Net + IGO)
WCDRR (World Conference on Disaster Risk Reduction) (NGO + Net + IGO)
DM ( Disaster Management ) (State + RC + NGO)
HFA ( Hyogo Framework for Action) (NGO + Net + IGO)
ISDR (International Strategy for Disaster Reduction) (State + Net + IGO)
champion (NGO + Net + IGO)
livelihood (RC + NGO + IGO)
exist (NGO + Net + IGO)
Asian ( State + NGO + Net )
Top collocates shared by 4 organisation types are:
ministerial ( (State + NGO + Net + IGO)
AMCDRR (Asia Ministerial Conference on Disaster Risk Reduction) (State + NGO + Net + IGO)
SFDRR (Sendai Framework for Disaster Risk Reduction) (State + NGO + Net + IGO)
practitioner (RC + NGO + Net + IGO)
importance (State + NGO + Net + IGO)
forum (State + NGO + Net + IGO)
curriculum (State + RC + NGO + IGO)
consideration (State + NGO + Net + IGO)
guideline (State + NGO + Net + IGO)
echo ( RC + NGO+ Net + IGO)
Top collocates shared by 5 organisation types are:
sendai (State + RC + NGO + Net + IGO)
DRR (Disaster Risk Reduction) (State + RC + NGO + Net + IGO)
CCA (Climate change adaptation) (State + RC + NGO + Net + IGO)
adaptation (State + RC + NGO + Net + IGO)
DRM (Disaster Risk Management) (State + RC + NGO + Net + IGO)
reduction (State + RC + NGO + Net + IGO)
framework (State + RC + NGO + Net + IGO)
climate (State + RC + NGO + Net + IGO)
integrate (State + RC + NGO + Net + IGO)
mainstream (State + RC + NGO + Net + IGO)
Usage Over Time
Usage Over Time
HE Corpus
HE Corpus
The chart below represents the distribution of disaster risk reduction between 2005 and 2019 in terms of the number of occurrences and relative frequency of occurrences. It also allows you to view the distribution across Regions, Organisations and Document types.
What's the relative frequency of a concept?
What's the relative frequency of a concept?
The relative frequency of a concept compares its occurrences in a specific subcorpora (i.e. Year, Region, Organisation Type, Document Type) to its total number of occurrences in the entire HE corpus. This indicates how typical a word is to a specific subcorpus and allows to draw tentative comparisons between subcorpora, e.g. Europe vs Asia or NGO vs IGO. You can read these relative frequencies as follows:
Relative frequency is expressed as a percentage, above or below the total number of occurrences, which are set at 100%. This measure is obtained by dividing the number of occurrences by the relative size of a particular subcorpus.
Under 100%: a word is less frequent in a subcorpus than in the entire corpus. This is means that the word is not typical or specific to a given subcorpus.
100%: a word is as frequent in a subcorpus as it is in the entire corpus.
Over 100%: a word is more frequent in a subcorpus than in the entire corpus. This means that the word in question is typical or specific to a given subcorpus.
As an author, you may be interested in exploring why a concept appears more or less frequently in a given subcorpus. This may be related to the concept's nature, the way humanitarians in a given year, region, organisation type or document type use the concept, or the specific documents in the corpus and subcorpora itself. To manually explore the original corpus data, you can consult each Contexts section where available or the search the corpus itself if needs be.
Occurrences of disaster risk reduction were highest in 2014, also obtaining the highest relative frequency recorded (119%).
Asia generated the greatest number of occurrences as well as the highest relative frequency with 263%.
The top 5 organisation types with the highest relative frequency of disaster risk reduction are Net, WHS, State, C/B and IGO.
Activity reports provided the greatest number of occurrences and Strategy generated the highest relative frequency with 136%.
Google Ngram Viewer
Google Ngram Viewer
This shows the evolution of disaster risk reduction and in the vast Google Books corpus, which gives you a general idea of the trajectory of the term in English books between 1950 and 2019. Values are expressed as a percentage of the total corpus instead of occurrences.
Please note that this is not a domain-specific corpus. However, it provides a general overview of and its evolution across domains.
Disaster risk reduction declines until the year 1990. I then starts to increase and it reaches its peak in 2019.
Debates & Controversies
Debates & Controversies
Synonyms
Synonyms
Discussion
Discussion
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