Simon Christopher Cropper - Profile

Geospatial Analysis and Cartography

Overview

Simon Cropper has been actively involved in use of Geographical Information Systems in Victoria since they first started to be used by consultants and government in the early 1990s. Work has ranged from small property-based projects to regional projects.

He has predominantly used ArcView over this time, although in recent years has been using a range of free and open source software (FOSS) alternatives like gvSIG, QGIS, OpenJump and SAGA. Simon has recently published a couple of papers on the suitability of using these FOSS Desktop GIS to view, edit, create, analyze and map geospatial data.

Simon has been a member of the Open Source Geospatial Foundation since 2010. During his membership he has been an active member of many Open Source Community Groups and has contributed Open Content to various projects. For example, he contributed the gvSIG QuickStart to the OSGeo Live Project, which has subsequently been translated into several other languages.

Review curriculum vitae

Sample maps with annotations

The following maps are actual examples extracted from reports provided to demonstrate existing capabilities. Features and names that identify either the client or the location of the area depicted on the map have been purposely blurred. Where practical the accompanying caption details have been retained to help explain the purpose of the work.

Description Sample Map
This map was part of a scoping study for a municipality. The idea was to identify subregions, in part, by looking at the topography.

Note the use of increasingly darker colours to represent increases in altitude.
MAP_001.png
Genista linifolia (Flax-leaved Broom) is a weed.

This map shows the distribution of this shrub throughout a grassland.

The priority for removal (P03 to P05) was dependent on the proximity to significant indigenous plants and associated habitat in the area.
MAP_002.png
Micro-scale GIS.

The location of plants of the critically endangered shrub Pimelea spinescens (Spiny Rice-flower) were recorded using a theodolite and plotted using Geographic Information Software. Each plant was categorised by size and "gender" and a separate symbol used to depict their distribution within the plot.

This data was also used to conduct nearest neighbour analysis to better understand the spatial relationship between clumps, female plants and recruits.
MAP_003.png
The distribution of a variety of common weeds throughout a grassland.

Polygons, polylines and text of varying colours were used to allow multiple species to be plotted on a single map.
MAP_004.png
This roadside survey uses cadastral data supplied by the responsible authority as a background.

The vegetation types in colour (categorized in a separate map) and the locations of the significant plants were digitized from field maps and stored as ESRI shapefiles for later geospatial analysis and mapping.
MAP_005.png
This vegetation quality map was digitized from aerial photography to show the transition from Primary Dune Grassland (PDG) to Coastal Dune Shrubland (CDS) to Coastal Dune Woodland (CDW) to Swamp Scrub (SS). Intact examples of this sequence is rarely found in Victoria. Unique 'tree' symbols were used to show the location of significant specimens of Bankia integrifolia (Coast Banksia).

This map also shows the use of a gradicule in addition to the standard grid.
MAP_006.png
A vegetation map for a golf course and associated legend.

This map illustrates the use of varying colour and font to include multiple features and labels on the same map.
MAP_007.png
A typical legend showing the symbols used in a map and their meaning. MAP_008.png
Trees mapped with ArcView using data extracted from a CAD drawing.

The legend for this map can be found here.
MAP_009.png
A vegetation map showing the extent of each vegetation type within two adjacent reserves.

Tracks and carparks were also digitised in this analysis and the area occupied by these features extracted from the vegetation layer to provide more accurate estimates of the area occupied by each vegetation type.
MAP_010.png
Another vegetation map, except the current georeferenced aerial photography is used as a background. MAP_011.png
What I did, my analysis and the study area in 1966.

Proving a point that the indigenous shrubs dominating the grassland east of the road are in fact recent colonisers and should be treated as environmental weeds.
MAP_012.png
Another legend... colour, symbol and font choices are very important when creating a map or series of maps. MAP_013.png
Regional-scale GIS.

The extent and quality of different vegetation types across a region.

The legend for this map can be found here.
MAP_014.png
The same dataset remapped based on the quality of the faunal habitat.

The legend for this map can be found here.
MAP_015.png
The same dataset remapped again based on the conservation status of the land.

The legend for this map can be found here.

This series illustrates the use of attributes to categorise features. Same features, in this case polygons, but different maps produced using different attributes.
MAP_016.png
Using GIS technology to show the distribution of different aged trees in a reserve. MAP_017.png
Mapping of land systems identified by evaluation of the topography, geology and extant vegetation types. MAP_018.png
A map showing the extent of habitat zones identified during a survey and the location of the quadrats where samples were taken. MAP_019.png
A map showing the vegetation found in the same area based on the same data. MAP_020.png
As technology improved transparency of polygons became possible allowing for layers to be superimposed over georeferenced aerial photography.

This technique is very useful to show the position of vegetation or site boundaries in relation to existing features known to the client.
MAP_021.png
A map showing the boundaries of sample sites. This map is interesting as it presents a linear reserve in two segments on the same page. MAP_023.png
OpenStreetMap data superimposed on a Digital Terrain Model created from contour data. This shows, through shading, the terrain within the study area.

Subsequent analysis allowed slope and aspect to be extracted for use in predicting the historical extent of fragmented vegetation types.
MAP_024.png
The data in the DEM shown in the previous map was used to establish the creek profiles so they could be classified. MAP_025.png
The sub-bioregional map created using the DEM shown above and various other geospatial datasets. MAP_026.png
A map showing the location of the reserves studied in greater detail... MAP_027.png
... and one reserve map for good measure.

Note the use of colour to distinguish core vegetation areas.
MAP_028.png
A map showing the location of an offset site within an urban development. MAP_029.png
Transparent polygons again. See how it is easier to orient yourself when you can see the underlying features (e.g. trees, roads, houses). MAP_030.png
Another... MAP_031.png