### A new way to look at Habitability

Posted:

**Wed 26 May 2010 21:06**hey all!

I've been thinking about Habitability recently, and I had this new idea. It's probably a bit too complex to use, but it's really not all that complex in the grand scheme of things, and I thought that I'd present it to everyone, just to see what people thought, or to use it suited your fancy.

The premise of this idea is that the Hab Index produces results that are too cookie-cutter, because the many abstracted factors really should never cause two races with the same HI to always and forever see all other worlds exactly the same.

Anyways, in this idea, the generic Hab Index is replaced by 5 different Habitability factors:

Gravity (which also factors in atmospheric density),

Axial Tilt (which describes how mild or extreme the seasonal climatic shifts will be),

Hydrographic Percentage (how much water is on this world),

Average Temperature (self explanatory),

Miscellaneous (this includes a number of other various and more subtle factors, including biochemical compatibility)

Each of these Habitability Factors has its own 1d10 value. However, do NOT add up the factors. The total of these factors is meaningless. You can have two races with very similar HF totals that will have trouble looking at worlds similarly. Note however that each of these HF's *IS* a wraparound value.

When you complete a survey on a new T/ST, you'd roll up the 5 HF's for that world.

How do you calculate the Hab Differential in this model?

Calculate the individual HD for each of the 5 HF's and then add up those HD's for a Total HD. Given that this is a wraparound model, the Total HD range is 0 to 25. Then you'd compare the Total HD against the following table:

I did a quickie test with 3 worlds. Earth, Orion, and Centar.

Earth: G10, AT1, H7,T3, M5 (total 26)

Orion: all factors 5, (total 25)

Centar: all factors 10, (total 50)

The Totaled HDs for the 3 different combos worked out like this.

Earth-Orion, the Total HD was 13. For Orion-Centar, it was 25. For Earth-Centar, it was only 12.

And yet if you simply added up the sums of each world's HF values, Earth was 26 and Orion was 25. However, the individual factors for Earth and Orion caused a calculated differential of 13, which would be a Harsh. This shows how meaningless the sum of the HF's for a given world are in this model.

In this model, the way in which two races would see most worlds similarly would be for the two races' own comparative HD to be minimal. As you can see above that while the (meaningless) totaled HF's for Earth and Orion are close, the reality is that their HD is not that close ... because the gravity and axial tilt factors are quite different.

This model supports nicely split 33%, 33%, 33% split between the different habitable sub-environments. And it produces much less cookie cutter results. I won't say that the model's results are unpredictable, since with a little bit of thought, you can see what will happen. I guess that the model is less linear, since there are five factors, rather than a single merged factor.

Also, this model produces a bit of flavor, since the HF's include gravity, axial tilt, hydro%, and ave. temp. You have a better idea what the world's environment looks like. Think of HF values of 5-6 as the max values and 1 and 10 as the min values.

Anyways, that's it... Comment away.

Crucis

I've been thinking about Habitability recently, and I had this new idea. It's probably a bit too complex to use, but it's really not all that complex in the grand scheme of things, and I thought that I'd present it to everyone, just to see what people thought, or to use it suited your fancy.

The premise of this idea is that the Hab Index produces results that are too cookie-cutter, because the many abstracted factors really should never cause two races with the same HI to always and forever see all other worlds exactly the same.

Anyways, in this idea, the generic Hab Index is replaced by 5 different Habitability factors:

Gravity (which also factors in atmospheric density),

Axial Tilt (which describes how mild or extreme the seasonal climatic shifts will be),

Hydrographic Percentage (how much water is on this world),

Average Temperature (self explanatory),

Miscellaneous (this includes a number of other various and more subtle factors, including biochemical compatibility)

Each of these Habitability Factors has its own 1d10 value. However, do NOT add up the factors. The total of these factors is meaningless. You can have two races with very similar HF totals that will have trouble looking at worlds similarly. Note however that each of these HF's *IS* a wraparound value.

When you complete a survey on a new T/ST, you'd roll up the 5 HF's for that world.

How do you calculate the Hab Differential in this model?

Calculate the individual HD for each of the 5 HF's and then add up those HD's for a Total HD. Given that this is a wraparound model, the Total HD range is 0 to 25. Then you'd compare the Total HD against the following table:

- Code: Select all
`HD ENVIRONMENT`

0-8 Benign

9-17 Harsh

18-25 Hostile

I did a quickie test with 3 worlds. Earth, Orion, and Centar.

Earth: G10, AT1, H7,T3, M5 (total 26)

Orion: all factors 5, (total 25)

Centar: all factors 10, (total 50)

The Totaled HDs for the 3 different combos worked out like this.

Earth-Orion, the Total HD was 13. For Orion-Centar, it was 25. For Earth-Centar, it was only 12.

And yet if you simply added up the sums of each world's HF values, Earth was 26 and Orion was 25. However, the individual factors for Earth and Orion caused a calculated differential of 13, which would be a Harsh. This shows how meaningless the sum of the HF's for a given world are in this model.

In this model, the way in which two races would see most worlds similarly would be for the two races' own comparative HD to be minimal. As you can see above that while the (meaningless) totaled HF's for Earth and Orion are close, the reality is that their HD is not that close ... because the gravity and axial tilt factors are quite different.

This model supports nicely split 33%, 33%, 33% split between the different habitable sub-environments. And it produces much less cookie cutter results. I won't say that the model's results are unpredictable, since with a little bit of thought, you can see what will happen. I guess that the model is less linear, since there are five factors, rather than a single merged factor.

Also, this model produces a bit of flavor, since the HF's include gravity, axial tilt, hydro%, and ave. temp. You have a better idea what the world's environment looks like. Think of HF values of 5-6 as the max values and 1 and 10 as the min values.

Anyways, that's it... Comment away.

Crucis