TreeHugger was created to encourage people to stop and take a closer look at the unique beauty of the native tree and plant species found in Aotearoa, New Zealand. This app gamifies the identification of native species. Using geolocation via smartphone to provide the user with a list of different wildlife environments nearby and species that are likely to be found there, along with plant identification information and images. Users can unlock achievement badges and real-world rewards for their efforts while also learning about and appreciating this incredible country.
Winner of the award for most novel use of Landcare Research data
TreeHugger was created to encourage people to stop and take a closer look at the unique beauty of the native tree and plant species found in Aotearoa, New Zealand. This app gamifies the identification of native species. Using geolocation via smartphone to provide the user with a list of different wildlife environments nearby and species that are likely to be found there, along with plant identification information and images. Users can unlock achievement badges and real-world rewards for their efforts while also learning about and appreciating this incredible country.Project site
Winner of the award for most novel use of Landcare Research data
The whole idea of the application we wanted to build was centred around native bush and it’s make up relevant to your location. This would work towards modelling the natural environment of a given area to deem it's health and aid in regeneration projects/efforts.Project site
For our project, we have utilised the NZOR, GBIF and ALA datasets with a set we brought along ourselves - the digitised Royal Society of New Zealand papers from 1868 to 1961. We have combined these sets in a web application, Recognita, that allows users to explore the overlaps between the various data sources. The aim of this is to present the historical Royal Society data in a contemporary context.
In order to help users find a point of entry into the data, we have created a Twitter bot, '@RecognitaNZ', that will periodically publish links to various species which are featured in the app. Users can then follow these links to discover the Royal Society publications and data from the other data sources."Project site
Tracking trapped animals
We built a mobile app for tracking trapped animals. If park rangers find trapped animals they have to write it down with pen and paper and digitalize it later on. With our app they are able to do it instantly. The app uploads the collected data records to a webservice.
The webservice displays this data crossed with other data provided by Landcare Research.Project site
NatureDash is a scavenger hunt for native species. The premise is that anytime your family goes on a bush walk, the app will use the Geospatial Biodiversity Survey Data to find native plants and DoC data to find animals in your area. So as you go on your walk you can start looking out for the native plants and animals that might be out and about. Match the images in the app with what you see and take the picture.
The app can also act as an image data collection point and as more people spot these plants and animals, it will build a richer picture of the native species around us.
Back to our Roots
Using Landcare Research's GBIF database, we have created a web app, 'Back to our Roots'. This app allows users to directly see the effects of planting a native tree in their backyard.
We aim to empower Kiwi's to build biodiversity into their backyards, in order to create a halo effect, not only around Zealandia, but around all of the native forests in New Zealand. We want people to deeply understand that everything is connected - the trees, the soil, the birds, and us. We are a part of this ecosystem, and we can do our small part to improve it. We invite kiwi's to be a part of this wider, long term vision to restore New Zealand's native ecosystems.
An application that enable farmers to make better commercial decisions by harvesting data from across research institutes and presenting it in an simple way.
Land metrics gives users metrics for land quality in an easy to understand way. Users click on a map and the application displays information for the selected property.Project site
Ngahere o Pukenui
Te manu e kai i te miro, nona te ngahere; te tangata e kai i te matauranga, nona ano te ao
This whakataukī expresses the aim of the project to tell the story of the ngahere, and the life and wisdom it offers the people who live in its vicinity…
If the forest could talk, what would it say? If you could talk to the forest, what would you say?
This Project helps identify, curate and manage the natural environment and recreation needs through access to deeper layers of information, while recognising and bringing ‘alive’ historic and cultural heritage.
Already the partners have been working to bring together the arts, heritage, culture & sciences into conservation. We now seek to use technology and youthful spirit to digitally take the forest into the classrooms, and bring the classrooms into the forest.
Connecting landowners and beekeepers to support more bees and a healthier planet.
Winner of the Callaghan Innovation Award
We want to understand human impact on New Zealand biodiversity. We've created a heat map of species biodiversity against population density. Future iterations would include showing other man-made impacts, including agricultural and industrial land use. We would also show how human impact affects how many native and non-native species are present as well as species endomicity.
Live temporal & special data mapping tool for pattern insight and telling and discovering stories. Little more work to use with any data with space&timeProject site
Winner of the Peoples Choice Award sponsored by Ice Breaker and winner of the Air New Zealand Award
Taxon/Taxoff is an application which visualises the data from the NZ Organisms Register in a friendly, approachable way. Users can click on the taxon or species to focus on that element, and the tree will display all members of that taxon which can in turn be inspected by the user.Project site
Allan Herbarium data
Allan Herbarium data: Plant species, mainly indigenous and exotic plants of the New Zealand region and the South Pacific. (In GBIF)
Fungal and plant disease collection
Fungal and plant disease collection: specimens from New Zealand and other Pacific countries. (In GBIF)
New Zealand Arthropods Collection, New Zealand land invertebrates, with many specimens also from the South Pacific.
New Zealand Flax Collection: A living collection of over 160 provenances of Phormium of cultural, economic and historical interest.
New Zealand Organisms Register: Actively maintained compilation of all organism names relevant to NZ.
Digital soil map
Digital soil map of NZ (polygonised), to be applied at any scale.
Fundamental Soils Layers
Fundamental Soils Layers: contain spatial information for 16 key soil attributes (pH, Salinity, particle size etc).
Land Resource Inventory
NZ Land Resource Inventory: polygons which describe a parcel of land in terms of five characteristics or attributes (rock, soil, slope, erosion, vegetation).
NZ Topographic Base Maps
Includes the terrain, hydrography, transport infrastructure, settlements, coastline and coastal features of New Zealand.
- More information will come.
Land Cover DataBase
Land Cover DataBase: a thematic classification of land cover and land use classes.
National Vegetation Survey
National Vegetation Survey: A physical archive and electronic databank of vegetation survey plots of indigenous and exotic plants.
Online service access to some of Landcare´s holdings of environmental data with a thematic focus.
- SDKs will be provided to hackathon participants.
Geospatial biodiversity survey
Geospatial biodiversity survey of the average endemism (uniqueness) of species found in cells of a grid pattern across NZ.
- Coming soon
In addition, other data sources are available for use in Nature Hack including New Zealand and international data for citizen science species observations and threatened or endangered New Zealand species, to name a few. Bringing these publically-accessible datasets together with the Landcare collections fosters a mashup environment in which participants are able to create something new and innovative.