I have three transects on opposing slopes. Each transect has ibutton data loggers set to record temperature at hourly intervals. The loggers are spaced at 20m altitudinal intervals from 1550 - 1810m (west-facing slope) and 1550 - 1690m (east-facing slope). Each transect has three ibuttons per altitudinal interval for replication and averaging purposes.
I have the average temperatures for each altitudinal interval (average of three ibuttons for each elevational interval) and have split the data according to seasons.
I would like to interpolate the averaged seasonal temperatures of to create a temperature layer (interpolate to a DEM) which I would then want to use as a covariate for occupancy modelling of a vulnerable species of lizard.
The other problem is that in the south of my study site the elevation is ca. 1450m (see attached map for context)
for which I have no temperature data so I would have to interpolate outside of my known data points (if that makes sense).
How can I do this in ArcGIS (if it is possible to do)?
Steve Lynch … for you
interpolating along the transects would be fine...
interpolating between the transects, maybe (Steve had suggestions on another thread that I can't locate right now...
interpolating into the void beyond the data values, I will leave to Steve
Dan Patterson, not an easy one to answer 🙂 and the link you could not find is to Interpolation of Data Collected along Lines
I spoken with some of my colleagues and the consensus is;
Steve
Thank you very much for your input. I'm a bit of a GIS newbie, could you perhaps explain what you mean by "supplying measurement values and data replication"?
Also to create the interpolated temperature layer, should I pool the temperature data together from the opposing slopes?
I apologise if my questions are a bit redundant I'm just a bit confused about the workflow that I should follow.
Thanks Steve... I am a little more reserved about the first consensus item
unless you have a follow-up study to indicate that the extrapolation was prudent... seen too many non-spatial and spatial extrapolations go bad I suppose
Thanks for your input Dan.