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Add features from the "Feature report" pane to get details reports.
You will find all saved features here.
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The layers in this category (e.g. cartographic text, transport and water) can be overlaid on your map as contextual information.
Crop suitability assesses how well an environment supports specific agricultural activities by analysing geo-referenced climate, soil, and terrain data. The method used for these layers is adapted from Kidd et al. (2015), and uses GIS rules and simplified parameter ranges to estimate suitability. It translates biophysical attributes into suitability indexes for crops, considering factors like temperature and soil pH. Suitability classes (well-suited, suitable, marginally suited, and unsuitable) are assigned based on these indexes, with the overall suitability determined by the worst limiting factor. Experts refine these rules through iterative evaluations to ensure sensible spatial patterns. The soil information is derived from a combination of S-map and the fundamental soil layers (FSL), both from Manaaki Whenua – Landcare Research. The soil data is resampled on a 500x500m grid. The climate data is the 5x5km Virtual Climate Station Network (VCSN) grid from NIWA.
Yield information can be accessed in the GET REPORTS panel by dropping a pin on the map. Yield ranges for each suitability class are estimated by crop experts, with well-suited yields based on maximum observed field yields in New Zealand, suitable yields on national averages, and marginally suited yields varying by environmental conditions. Unsuitable areas predict zero yields or uneconomic harvests.
This dataset was produced as part of the Land Use Opportunities: Whitiwhiti Ora research programme funded by the Our Land and Water National Science Challenge. Further information about this layer and links to download the data, can be found at the Whitiwhiti Ora Data Supermarket.
N.B. The information provided here is not sufficiently accurate for detailed farm-scale use.
Add features of interest to generate a report
- Click multiple times around the map to create a custom area
- To close your selection area, double click on the map or click on your starting point
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No layers added yet
Add features of interest to generate a report
- Click multiple times around the map to create a custom area
- To close your selection area, double click on the map or click on your starting point
loading...
-
- ...
loading...
Add features from the "Feature report" pane to get details reports.
You will find all saved features here.
The layers in this category (e.g. cartographic text, transport and water) can be overlaid on your map as contextual information.
Crop suitability assesses how well an environment supports specific agricultural activities by analysing geo-referenced climate, soil, and terrain data. The method used for these layers is adapted from Kidd et al. (2015), and uses GIS rules and simplified parameter ranges to estimate suitability. It translates biophysical attributes into suitability indexes for crops, considering factors like temperature and soil pH. Suitability classes (well-suited, suitable, marginally suited, and unsuitable) are assigned based on these indexes, with the overall suitability determined by the worst limiting factor. Experts refine these rules through iterative evaluations to ensure sensible spatial patterns. The soil information is derived from a combination of S-map and the fundamental soil layers (FSL), both from Manaaki Whenua – Landcare Research. The soil data is resampled on a 500x500m grid. The climate data is the 5x5km Virtual Climate Station Network (VCSN) grid from NIWA.
Yield information can be accessed in the GET REPORTS panel by dropping a pin on the map. Yield ranges for each suitability class are estimated by crop experts, with well-suited yields based on maximum observed field yields in New Zealand, suitable yields on national averages, and marginally suited yields varying by environmental conditions. Unsuitable areas predict zero yields or uneconomic harvests.
This dataset was produced as part of the Land Use Opportunities: Whitiwhiti Ora research programme funded by the Our Land and Water National Science Challenge. Further information about this layer and links to download the data, can be found at the Whitiwhiti Ora Data Supermarket.
N.B. The information provided here is not sufficiently accurate for detailed farm-scale use.
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Use this facility to create printable PDF maps in A4, A3, A2 and A1 size and in portrait or landscape layout.
The extent of your map is shown by the blue box. Click on the box and drag it around to change the geographic location of your map.
Changing the scale or paper size will affect the amount of detail or the size of the geographic area that will appear on the map.
The maps can include any map title.
This map generation process may take a few minutes.
The print request exceeded the maximum supported size due the complexity/amount of geometry in the requested extent. Try printing a smaller area of the map.
3rd party layers will not be included in PDF maps.
DO NOT CLOSE THIS WINDOW before the PDF download window appears. Closing the window will interrupt the creation of your PDF file.