Support the spread of “good practice” in generating, managing, analysing and communicating spatial information The P3DM Process Various phases By: Giacomo.

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Presentation transcript:

Support the spread of “good practice” in generating, managing, analysing and communicating spatial information The P3DM Process Various phases By: Giacomo Rambaldi Unit: M10U01

Flow of the presentation Preparatory phase Manufacturing the blank model Data input Data extraction

Support the spread of “good practice” in generating, managing, analysing and communicating spatial information The Preparatory Phase

Preparing the logistics Procuring inputs Preparing the base map Sourcing for spatial data (contours) Preparing the agenda Preparing the draft legend Mobilising stakeholders Choosing the scale Defining the area Consulting stakeholders Obtaining FPWIC

Geographical scope The concerned communities should select the area to be mapped. Pay attention to the: –purpose of the mapping exercise; –watersheds; –cultural domains; –zones.

Choosing the scale 1:10,000 scale: 1 cm on the map equals 100 metres on the ground 1:5,000 scale map: 1 cm on the ground equals 50 metres on the ground At scales smaller than 1:15,000, informants have difficulty precisely locating features P3DM is best done at scales > 1:10,000

Choosing the scale Given a defined project area, the choice of scale will determine the size of the model

Preparing the base map Ensure that: –contour lines are coloured in a repeating sequence –labels (many) show elevation in metres –a grid is added –the lowest elevation contour line is clearly identified –you get at least two copies of the base map

Procuring inputs Procuring inputs is a critical step in organising a P3DM exercise because you: –cannot run out of materials during the P3DM workshop –must ensure that all participants are given the chance to actively participate and that nobody feels excluded –must have enough materials to accommodate the unexpected

Materials to reproduce contour intervals Carton board Expanded EVA/PE closed-cell foam Images by PAFID

Push and map pins for points Examples of point features: –Water point –Household –School –Health centre Images by Giacomo Rambaldi

Yarns for linear data Examples of line features: –Road –Foot trail –Water course Examples of areas: –Malaria-infested area –Flood-prone area Image by Giacomo Rambaldi

Paint for polygons Examples of point features: –Grassland –Water body (lake) –Paddy field –Orchard –Dark forest –Bamboo forest –Landslide Image by Giacomo Rambaldi

Overlapping features Yarns can be used to add data sets on top of other layers –For example, a coastal area (light blue paint) is considered a no-touch zone (orange yarn identifies the boundaries of the zone)

Scaling and referencing Image by Giacomo Rambaldi

P3DM logistics P3DM logistics are complex because facilitators have to: –convene people at a time; –accommodate and feed them for 1-2 days; –ensure that participants represent adjacent villages to facilitate cross-verification; –ensure that all have a role to play during the workshop.

Support the spread of “good practice” in generating, managing, analysing and communicating spatial information Manufacturing the Blank Model The youth at work

Tracing, cutting and pasting Images by Giacomo Rambaldi

Support the spread of “good practice” in generating, managing, analysing and communicating spatial information Data Input The turn for the custodians of knowledge

Orientation, here we are! Image by Giacomo Rambaldi

Transfer of spatial knowledge Image by Giacomo Rambaldi

Transfer of spatial knowledge Image by Giacomo Rambaldi

Support the spread of “good practice” in generating, managing, analysing and communicating spatial information Data Extraction

Data extraction This topic is addressed in detail in M10U04

Data management Thematic maps, GIS and database information Cross-checking and validating Comparing data from different sources Plotting thematic maps Cartographic processing Digitising, organising and editing data Extracting data from the 3D model Various purposes