Aims:
ACAPS – to better
understand when, during the crisis time span maps have been used, under what
circumstances, for what purposes, for what themes and using what types of data/analyses. Understanding more about how and when map
production and use changes throughout the disaster cycle - e.g. we know that phase 1 of assessment is 2D (Geo vs Sectors) and that phase 2 is 3D Geo vs Sectors vs Affected groups). Theoretically, further phases should provide more in-depth information (from Admin 2 to admin 3, from affected groups to vulnerable groups, from sectors to subsectors etc). Finally, we need to understand how these layers and categories of information aggregate and intersect analytically to reach the grail of analysts: severity and priorities, across groups, sectors and geographical areas, now and in the future. Would like the review to cover disasters over
the past three/four years.
SIIEM – Part of the Eye
on Earth movement which is focusing on improving access to data, and looking
at what is being used. Initially focusing on Philippines (Yolanda). The SIIEM project advocates for greater in-country
government capacity development for data collection, management, open access, and use. Want
to include a map review of the maps produced during the response to Yolanda focusing on what data have been used in the map, who made the map,
what was the source of the data, how much govt data were used, was the data
from local or national sources, how useful were the maps (the latter to be
assessed by the Philippines govt at a workshop this year (DSWD are the local
contact)).
MapAction – Interested in understanding more about data and map availability
alongside Decision Makers Needs to inform future field mapping strategies
DRL: Carrying out research into decision makers needs, information flows
and communication, and impact assessment.
Undertook a field research trip
to the Philippines end of December, to interview decision makers and
information officers from various organisations.
Summary
of fields in spreadsheet:
1.
Contextual – provides background
information, including the date the map was produced vs the date of the
disaster onset
2.
Map Author, purpose and Type
3.
Basemap/baseline data – presence of Admin boundaries,
Baseline population and type of data... etc
4.
Situational data – presence of situational data, along with its source and date (the latter
being useful to see how often its being updated). The field for ‘Affected area’ will need to contain
different lists of datasets for different types of disasters – the one shown is
an example for floods.
5.
Programmatic
6.
Situational infrastructure and
humanitarian access – again source and date of this information is important
7.
Analytic – useful to see how
maps are being used to analyse and present information in ways that are useful
for decision makers
8.
Qualitative vs Quantitative –
how does use of different types of data evolve, and how is it presented
9.
Indication of uncertainty in
the data – how is this being expressed in maps
10.
Decision makers needs questions
– we need to think more about how to address the impact of maps and their
associated data/analyses. My preference
would be that we use our contacts to ask a few decision makers (from govt,
NGOs, UN, donors etc) from each disaster that we study to do a separate assessment of
how the maps were used/which were most useful etc.
Where we are asking for sources and dates
of data, it will also be important to record if the information is unknown/unclear,
as this will be useful for assessing whether maps are being properly
attributed.