Spatial Portal

Spatial Portal

The FAQs below are an introduction to some of the features of the Spatial Portal specifically.

How to use some of the functions of the Spatial Portal are covered in the User Guides. User Guides 2, 3, 7, 8 and 10 outline steps.

Please see Spatial Portal Help for more detailed information and the Spatial Case Studies for worked examples.

What analytical tools are available in the Spatial Portal?

The Spatial Portal provides a range of analytical tools that demonstrate the value of integrating spatial information:

What can I map?

In the Atlas Spatial Portal, you can map:

  •  taxa (species, genus etc.) occurrences as points
  • species polygons as best spatial estimates of their distributions
  • areas as defined interactively on the map, defined by named features or uploaded
  • environmental layers as grids of continuous values, eg annual rainfall, and contextual layers of polygons with class values, eg land use.

Can I save a map or analysis and come back to it later?

Maps can be downloaded in various formats and an analysis can be restored by entering the analysis id displayed at the time of the run.

Can I use the mapping tool on my own website?

Most of the functions of the Atlas are written as web services. This means that most of the functions that are used on the Spatial Portal can be embedded in your own web site. For example to display a map of the Tasmanian Devil, you would use the URL

See Web Services for a list of available spatial web services.

How accurate are the locations displayed on a map?

The data supplied by our data providers determines the accuracy of features on a map, and the accuracy of occurrence locations varies greatly. Some records will only state that the species was observed in Australia while others will be accurate to within less than 5m on the ground. Named locations are generally accurate to within 100m but this will depend on the context, eg the centre of a town in 1950 will probably not be the same as it is today.

Why are there no species records for my area?

No species may be reported for your area because:

  • the Atlas doesn’t know about them yet; the information has not be supplied to us by our data providers. If you are aware of records from your area, please contact us [mail to data]
  • the location of occurrences in your area may have been rounded by a data provider and consequently, may incorrectly fall outside your area.

Where do the map layers come from?

The Spatial Portal uses a variety of map layers. The basemaps come from Google, OpenStreetmap and a simple world political boundary outline map useful for publishing thumbnails of species distributions. The environmental and contextual layers come from a wide range of providers.

See for a list of the layers with links to the data providers and other layer details.

Why do some maps show dots outside the real range for the species?

Sometimes the data used to generate maps is incorrect. This may be because:

  • location data transcribed from a specimen label is too general to be converted into a latitude and longitude, eg what is the latitude and longitude of the location ‘Atherton Tableland’?
  • the coordinates provided are too coarse, eg whole degrees rather than to three decimal places.

At other times the location is correct and the specimen was found in, eg a botanic garden, a reptile park or supermarket (especially with insects, frogs and other small creatures).

Can I create and map my own list of species?

Yes, you can use to create a list of any combination of species and use that list in a variety of places in the Atlas.  To create a List, you will need to have a login as the List is stored against your name. The List can simply be a set of species names, one per line in a CSV file. Names should be the standard genus species pair.

The Atlas matches the uploaded names against the National Species List. Any unmatched names are flagged. You can then use the Google search option to find out more about any of the unmatched names.

Once the List has been created, you can share administration of it with any other registered users. The choice is yours.

When the list has been created, it can be used in the Spatial portal anywhere a species can be entered; use “Use existing species list”

Can I map my own list of occurrences?

Yes, you can map your own list of species (taxa) or map a set of taxa locations and associated data. All that is required is a CSV-formatted file with the records starting with three values

  1. An identifier (some alpha or numeric code)
  2. Longitude in decimal degrees
  3. Latitude in decimal degrees (-ve south latitude)

and then any number of optional values that you may want to filter/display on. Those additional fields can be either alpha or numeric.

Use the Spatial Portal menu item Import | Points

Where does this environment occur?

This question can be viewed as the reverse of sampling. A user selects environmental layers of interest and lower/upper bound values for each layer. Filtering then identifies how many species are to be found within the defined environmental envelope. You can access this tool from the Spatial Portal menu item Add to Map > Areas > Environmental envelope.

Why would you want to use this tool? If, for example, you know the environment that best suits Pinot Noir grapes, you can find out where in Australia (or the world) suitable conditions occur (see the Pinot case study), if we have the required environmental layers.

Area Reports

If you want to find out what biologically related data is within a defined area, then area reports in the Spatial Portal can deliver. The area can be defined by any one of 15 different options. For example, you can use the gazetteer to lookup say “Royal National Park” and then use that as the defined area. You can also digitize the boundaries of the area in the Spatial Portal if there none of the other area defining options are applicable.

Once the area is defined, which you can define ‘on the fly’, you can generate an area report containing lists of species, endemic species, invasive species, species with a conservation status, lifeforms, occurrence records, publications, gazetteer points, points of interest and more.

There are two types of report, an onscreen report that is quick and a PDF report that isn’t. The onscreen report contains most of the details in the PDF report but it is interactive and you will only see what information you select. Depending on the size of the area, the PDF report (which can be over 100 pages) can take considerable time to generate as a lot of information needs to be gathered. In short, if you want to know much of what the Atlas knows an area, area reports are a great solution.

More information on Area Reports.

Nearest location

If you want to find the closest named location (a gazetteer location) to any point within the Australian region, you can simply click on the map in the Spatial Portal and the closest 5 locations will be displayed. Why would you use this function? An example may illustrate. A group of Atlas users wanted to find out what information was available on all Australian islands. Of particular interest, were islands that had not be named in the Australian gazetteer.  What they did was to zoom in on an area of the coast and then use this function to identify which islands did not have a name.

More information can be found at Tools | Nearest locality

What is sampling?

The term ‘sampling’ comes from the use of the locations of species records to sample the values of any of the environmental and contextual layers available in the Spatial Portal. For example, if you have two records of a species at two separate locations and want to find out what the annual rainfall and mean annual temperature associated with the sightings, then Sampling is how to do it. In this case, sampling will produce a spreadsheet file containing the two locations (=rows) and associated data such as the species names, data flags etc and two additional columns; one for the precipitation value and one for mean annual temperature.

Sampling can be done from Export | Point sample or from Tools | Area report.

What is filtering?

Filtering is subsetting the Atlas data using the facets available via ‘Add to map | Facets‘ and on the legends in the Spatial Portal. If you wanted to map all species occurrences that were recorded between 1900 and 1920, you are effectively filtering on the total Atlas holdings for the records taken between 1900 and 1920. To do this, you would use ‘Add to Map | Facet’, select the Facet called “Decade” and check boxes for 1900 and 1910. The result will be a new map layer of all occurrences between 1900 and 1920. You could for example also filter occurrence records that came from certain institutions, by a group of Collectors or data ‘quality’ flags.

If you have mapped a species (or genus or even list of species), you can use the same mechanism in the legend area of the Spatial Portal to select the facet of interest and then the values of that facet and then create a new mapped layer that has only the selected characteristics.

Filtering can also be applied to a set of occurrence records that has been uploaded, as long as it has a set of fields that are facetable.

What is a scatterplot?

A scatterplot is an X-Y graph of the sampled values of a pair of environmental variables from a set of species (or genus etc.) locations. Each point on the scatterplot represents the values of the pair of environmental values for a single occurrence record. You could for example plot mean annual temperature (called Bio01 in the Spatial Portal) against annual precipitation (Bio12) for say Eucalyptus gunnii (Cider Gum). In this case, temperature will form the X-axis and rainfall the Y axis and the points on the graph will show you what combinations each observation has. The distribution of points is usually informative.

If you want to see what subset of all our environmental layers may have some influence on the distribution of a species (or genus, family etc), then we have a tool called the Scatterplot List. This tool produces scatterplots for all combinations of multiple environmental layers for any species or group of species. For example, you could plot Eucalyptus gunnii against multiple temperature, rainfall and solar radiation variables. This makes it easy to see if there are any systematic relationships.

See Scatterplot case study for an example of how this tool can be used.

What is Tabulation?

Tabulation, or more accurately, cross-tabulation is the direct counterpart of scatterplots for layers that have class rather than numeric values. In the case of tabulation, the X and Y axes of a table are equivalent to the X and Y axes of a scatterplot.

An example of a cross-tabulation would be a table of Australian States and Territories and the reserve classes (CAPAD) such as National Parks, Forestry reserves, flora reserve etc. So what are in the ‘cells’ within the table? We provide three options – the area (square kilometres), number of species (richness) or number of occurrence records.

Using tabulation, you can therefore do some amazing analyses. You could for example see how well a species (or genus or species group etc) are represented across States and Territories, reserve types, bioregions etc. You can download the table as a CSV-formatted file to analyse as you wish. As we build the number of contextual layers (layers with class values), more combinations are made available. This IS surely powerful stuff?

More information can be found at Tools | Tabulate.

What is the use of ‘Points to Grid’?

The occurrence records in the Atlas are points. Admitted, the accuracy of the location can often mean that the species was seen within a defined area, but the Atlas can only treat it primarily as a point, with an uncertainty radius. There are three other types of species data (checklist areas, expert distribution polygons and prediction areas) but these are special cases.

Points to grid transforms point occurrence data into a sites by species data matrix. This form of data allows you to compare areas by the composition of species. Sites in this tool mean grid squares. The output from the tool is therefore a matrix of user-defined sized grid cells by species. Usually, the species in question will be a species group such as Eucalyptus, lifeforms such as amphibians but can be as generic a List as you like.

As a side-product of this tool, you can optionally generate a species richness and occurrence density map. Could be handy. Could be illuminating?

More information about this option can be found at Tools | Points to grid.

Generating Points

Why would you want to generate point in the Spatial Portal? We had a number of users ask us if it was possible to get an average of environmental conditions within a given area. We developed this tool to generate points on a regular (user defined sized) grid within a user-defined area. Simple. What the tool produces is a new point layer that you can do with as you wish, but mostly we suspect useful for sampling layers?

More information will hopefully soon be found at Tools | Generate points.

Phylogenetic Diversity

Diversity generically is the range of different things. In the case of biodiversity, diversity is generally the number of different species. Phylogenetic diversity is the differences between species in terms of their evolutionary history. A phylogenetic tree is the foundation of phylogenetic diversity. Such a tree ideally represents both time and character differences between species. Character differences can either by in physical properties such as the number of legs, or differences in DNA sequences.

In the Spatial Portal, phylogenetic diversity is based on any phylogenetic tree accessible via the Atlas and any defined area. The output is the phylogenetic diversity of the species in the tree within the defined area.

What is classification?

Classification combines a set of environmental layers into one new layer that retains most of the information in all the input layers. The classification groups on the output layer are referred to as ‘environmental domains’. Each environmental domain (group) on the map is colour coded to reflect the relationships with all other domains; similar coloured groups represent similar environments.

Why is this used? The distribution of species is controlled by environmental conditions and species interactions. When there is inadequate biological data, which is most of the time, environmental domains may be a useful surrogate for biodiversity in environmental planning and management.  The classification method used in the spatial portal is called ALOC from the ecological analysis package called PATN.

See Classification case study for an example of how this tool can be used.

What is Prediction?

If you want to find out where a species could occur, you need to use the environment at known species locations. Once you know what environment a species prefers, you can determine where those environmental conditions occur and would therefore expect the species to occur. This approach is called ‘niche modelling’. The spatial portal uses a modelling technique called MaxEnt developed by Steven Phillips. This method is robust for  handling presence-only—data the situation where we know where a species occurs but are unsure about where it does not occur.

Input to MaxEnt is a list of species occurrences and a set of hopefully relevant environmental layers. The outputs are a probability surface map and a suite of diagnostic graphs and values.

See the Prediction case study for an example of how this tool can be used.

What is Generalized Dissimilarity Modelling?

This is a tough one. GDM is probably the most complex tool within the Spatial Portal of the Atlas. It is normally used over a large number of species (a group such as Eucalypts or lifeforms such as amphibians) and over regions to national areas to identify how well all the species align with environmental factors.

GDM accepts any species list and a suite of environmental layers and then warps the environmental layers to best align with the species observations. For example, if you use Western Australia as an area, Eucalyptus as the species list and say rainfall, temperature and solar radiation layers, you will produce three new rainfall, temperature and solar radiation layers that best align with the distribution of Eucalypts in Western Australia. These new layers could be used in further analysis such as area classification.

More information can be found at Tools | GDM.