OUR SERVICES

1.  Our published ECCwBD & ECCwBD Farmer R Shiny EE stable applications are currently free to use for registered users. Usage and access is strictly and legally contingent on your agreement with our Terms of Service. Enjoy and please limit daily usage so others may too. Please let us know what you think of ECCwBD. If you want, please provide pertinent information concerning intended usage, professional capacity, and affiliation if relevant to intended usage. Due to limited staffing, we do not provide direct technical support for users of the  ECCwBD application. Please be informed and read Terms of Service.

   • Both offer data view and interactive statistical methods for data summarization and modeling in R Shiny Server. Interaction options are built into the following tabs; Data Upload, Correlation & Covariance, Boxplots & Histograms, Pairs Plots, GLMM Model Fitting, GLMM Model: PsnNet Prediction, and Carrying Capacity Estimation.

     • ECCwBD has access to datasets in the Earth Engine Catalog, e.g., climatic, terrain and productivity estimates, and it is free to use for a predefined or user designated set. Interpretation is solely the user's responsibility. 

     • Survivingenious LLC assumes no responsibility for any decisions and/or outcomes, whether pleasing or otherwise, resulting directly and/or indirectly from any collaboration and/or interaction whether in writing or graphic or through any media (digital or otherwise) and/or verbal exchange, whether prior to or during or upon completion of collaboration. 

     • Unless otherwise agreed to in writing, all ECCwBD code used and/or developed by Survivingenious LLC prior to and/or arising via collaboration is part of the proprietary ECCwBD application branched algorithmic summarization and statistical inference tool. 

     • All ECCwBD EE applications are licensed under ECCwBD Copyright 2020 Survivingenious LLC. All rights reserved.

     • R Shiny analyses, Copyright 2021 Survivingenious LLC. Licensed under the Apache License. You may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an AS IS BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

   • Other free services include our ECCwBD Fire and Ocean apps.  ECCwBD Ocean and Fire EE applications offer insight and opportunity for potential management assists. 

     • We offer spatio-temporal statistical summaries and analyses of primary productivity products within user defined areas of interests and timeframes. Our aim is to help wildlife and livestock managers approach ecological carrying capacity (ECC) via analyses of  land use and change related to stocking rates under variable inter-annual growing season conditions and the related vegetative community structural and functional responses. Likewise, our Fire & Ocean apps will hopefully assist respective domain management and conservation efforts. Thank you for contacting us regarding your collaboration interests. In terms representing Survivingenious LLC, collaboration is encouraged. 

2. Survivingenious LLC code development include and are not limited to the following: data retrieval, cataloging, persistent storage, modeling, interpretation, description, and coding in JavaScript, Python, and R language for statistical programming. Streamlined cloud-based integration of data with automated and/or human observed, updatable inputs offers flexibility. Ecological or any otherwise client defined models of interest developed to answer client-based questions increases applicability of responsive model frameworks. Reflective prediction with responsive models, persistently updated with near real time data, can increase efficiency for multiple sectors including agricultural and manufacturing. Expedited analysis happens as client defined models based on historical data, KPIs and random effects per field/department are updated and respond with estimates of current productivity. Further development includes, independent analytical applications and/or website creation to host updatable online applications and databases.

3. 
   

   • Survivingenious develops ecological or any otherwise client defined models of interest designed to answer client-based questions, e.g., agricultural or manufacturing output prediction models based on historical data, KPIs and random effects per field or department. Further development includes independent analytical applications and/or website creation to host updatable online applications and databases.

   • We offer transparent data sourcing, summarization, analytics, and detailed write-ups of statistically based inferences to be used by client however they see fit.

   • All Survivingenious LLC's consultation services are free.

   • Original applications created without the use of The eccwbd application source code belong to the client specified in said agreement.

   • Survivingenious LLC assumes no responsibility for any decisions and/or outcomes, whether pleasing or otherwise, resulting directly and/or indirectly from any consultation services and/or interaction whether in writing or graphic through any media (digital or otherwise) and/or verbal exchange, whether prior to or during or upon completion of agreements. 

   • Examples of Survivingenious' software creations include a suite of original applications for Estimating Carrying Capacity with Big Data (ECCwBD). All ECCwBD Earth Engine applications are part of The eccwbd application, Copyright 2020 Survivingenious LLC. The eccwbd application is a geospatial analytical tool executed JavaScript via Earth Engine, embed in R Shiny server, and launched from eccwbd.com. Area of interest relational databases are extracted and downloaded CSV data structure formatted for R upload.

     • On the operations and development side please contact us regarding datasets and timeframes you may need summarized and/or analyzed and/or modeled in detail. Upon confirmation of client interests, please send an AOI boundary shapefile or EE Asset to survivingenious@gmail.com for delineation and quotes. Upon agreement between parties, Survivingenious LLC can develop code to deliver statistical summaries and inferences. As well as, Earth Engine assets and rasters with associated sample data based on client designated sample coordinates or specified sampling designs with integrated cloud-based modeling options. Collaboration regarding review and description of data retrieval and sources is encouraged.  

     • All ECCwBD code used and/or developed by Survivingenious LLC prior to and/or arising via consultation is part of the proprietary ECCwBD application branched algorithmic summarization and statistical inference tool, i.e., The eccwbd application.

     • Upon the signing of a non-disclosure agreement with a notary witness present, Survivingenious LLC will consider negotiating disclosure of The eccwbd application algorithm to assure client satisfaction. 

   • In order to answer AOI specific concerns surrounding impaired ecological processes and possible ecological state shifts we inform the interpretation of application results. Our standard requires set and repeatable analytical approaches related to analyses outside of Earth Engine, e.g., measurable rangeland AOI specific ecosystem structure and function impacts under variable ungulate utilization levels. Our carefully planned research designs can be used to detect biologically relevant temporal differences in vegetation cover-types and ungulate fitness histories, where available. Analysis of primary productivity (above ground vegetation) variances and differences in means at set alphas and p-values can lead to robust comparisons between rangelands over time. Survivingenious LLC's AOI specific sampling designs for vegetative community composition and associated C:N ratios can lead to strong inference regarding landscape ecological carrying capacity.

     • These among other services help identify ecological state shifts, if present, and provide statistically defensible, scientifically backed information to decision makers who are working toward our common goals of ecological conservation and restoration. Together our efforts can bolster ungulate fitness, such as with bison (Bison bison), by creating healthy feedback loops in terms of ecosystem structure and function. Through informed management decisions based on measurable and repeatable results we together as systems ecologists (meaning you too) can help balance landscape floral and faunal diversity.

4. Following are Survivingenious LLC's current works in progress:

   • Development of ungulate intake per species' age groups as the crude protein nutritional requirement divided by sum total crude protein content of preferred forage types per fraction of cover. Stable application ECCwBD 1.0.1.0 released 2021/03/20 includes user input options for each of these variables. Instructions updated accordingly. 

   • Development of various branched algorithmic statistical summarization functionalities & image-based probability modeling options. We have included sampling and save options for a sample of every 500m pixel within AOIs < 5000 pixels and an upload option for user specified sample points of up to 5000 pixels within AOIs of any size. Stable application ECCwBD 1.1.1.2 released 2021/12/16 includes these sampling options for 29 environmental variables including the following: mean Greenup and senescence 2001-2018, growing season productivity with prior winter conditions, elevation and coordinates.

   • Fine scale ground imagery integration to enhance the MODIS & ungulate offtake estimates via ground verification with actual vegetation density measurements collected via random sampling or an agreed upon sampling design per habitat for specific ungulates. 

   • Adjustment of winter forage availability estimates via inclusion of winter foraging limitation influences on forage availability and access. Coefficient estimates are derived from an updated generalized linear mixed model (GLMM) to estimate ungulate browsing likelihood in response to spatiotemporal variation in biotic and abiotic winter covariates partitioned into random effect groups (Belile Thesis). We have integrated influences of winter abiotic and biotic covariates on forage access and availability using strong inference derived from GLMM coefficients for winter snow depth and level two soil temperature within a random effect grouping designation expressed per spatiotemporal variability in season PsnNet less estimated total ungulate offtake (Muñoz 2019). Application of GLMM coefficients to adjust estimated average AOI forage availability during January through March shows promising preliminary results. This work is in progress and is associated with Belile Thesis © Copyright 2016 Donald L. Belile Jr. and The eccwbd application © Copyright 2020 Survivingenious LLC.

   • ECCwBD and ECCwBD Farmer stable applications now includes 250m resolution soil organic carbon content at 10cm depth for the continental U.S. (Hengl and Wheeler 2018).

   • Estimating Carrying Capacity is embedded in our <> R Shiny Application for ECCwBD analyses. Earth Engine ECCwBD 1.2.2.0 forage and ungulate inputs are deprecated and moved to R Shiny tab 'Carrying Capacity Estimation'. Inputs for ungulate offtake, forage type nutritional quality/requirements are streamlined directly into R. Data selection within user defined AOI generates 500m samples of 29 variables. Once algorithm completes click 'View Data' and download as a CSV file, which is preformatted for upload in 'Data upload' tab. Once uploaded the placeholder data (Northern Range within Yellowstone National Park) is updated. Predict current year season MODIS PsnNet by first performing exploratory data analysis to identify significant variables and their combinations within a fitted generalized linear mixed model (GLMM). Using prior year's predictor variables, which end in 'x' for designation, we can confirm prediction with regression analysis of actual available season PsnNet over predicted season PsnNet. We are now currently working on calculating intersected area to reduce 500m edge effects. We are also working on reactive column binding of predicted season PsnNet with input data for within R responsive outputs.

   • ECCwBD_Farmer 1.1.0.1 is now also embedded in our <> R Shiny EE App for ECCwBD analyses.

   • ECCwBD 1.2.3.0 results panel includes season PsnNet and estimated ungulate offtake summary statistics based on all pixels within AOI (contingent on Earth Engine calculation time-out. Button "Within Season Carrying Capacity" opens a new panel with results based on estimated offtake between Greenup (start) date and senescence (end) date. Updated 02/01/2022. Included are 41 environmental predictor variables; mean MODIS cycle 1 Greenup and senescence 2001-2018, winter mean MODIS leaf area index, fraction of photosynthetically active radiation, snow cover and albedo from January 1st through Greenup, OpenLandMap 250m soil organic carbon content, CHIRPS 5566m  winter and growing season total precipitation, NLCD 30m national land cover data, USGS 10m national elevation, ALOS 30m global elevation data, and ERA5 11.1km level 2 winter mean soil temperature and snow depth, and ERA5 11.1km mean volumetric soil water content from January 1st through Greenup and for Greenup through senescence. (Hall et al. 2016, Funk et al. 2015,  LP DAAC, Muñoz 2019, Tomislav and Wheeler 2018, USGS, please see NOTICE). Also available are EE reduced 500m elevation along with elevation derived slope and cosine aspect to account for landscape variation at the MODIS scale.

5. Contact Survivingenious LLC to discuss consultation services & quotes. Email AOI boundary files & current/planned stocking rates to survivingenious@gmail.com regarding quote inquiries. 

NOTICE

To the best knowledge of Survivingenious LLC, summarized primary productivity data presented here are intact in raw form. Beyond note about edge effects and description of NPP prediction, no data have been changed. Map data © 2023 Google, INEGI is used here for reference only and have not been altered. Questions are encouraged, become informed and know ECCwBD offers insights not guarantees.

LICENSE

The eccwbd application

© 2020 Survivingenious LLC. All Rights Reserved.

Library of Congress registration number PAu 4-060-238. 

No eccwbd public registry.

Operated by Survivingenious LLC.

Use governed by terms published on https://eccwbd.com